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2020 – today
- 2024
[j16]Zhenghong Wang, Sijie Ruan, Tianqiang Huang, Haoyi Zhou, Shanghang Zhang, Yi Wang, Leye Wang, Zhou Huang, Yu Liu:
A lightweight multi-layer perceptron for efficient multivariate time series forecasting. Knowl. Based Syst. 288: 111463 (2024)- [j15]Ji Ma
, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu:
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. 9(9): 7389-7396 (2024) - [j14]Jianlin Xie, Guanqun Wang, Yin Zhuang, Can Li, Tong Zhang, He Chen, Liang Chen, Shanghang Zhang:
DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j13]Xingqun Qi, Zhuojie Wu, Wenxuan Zou, Min Ren, Yifan Gao, Muyi Sun, Shanghang Zhang, Caifeng Shan, Zhenan Sun:
Exploring Generalizable Distillation for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(7): 4170-4183 (2024) - [j12]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Trans. Intell. Veh. 9(1): 2489-2498 (2024) - [c89]Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao:
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. AAAI 2024: 1797-1805 - [c88]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang:
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI 2024: 16334-16342 - [c87]Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang:
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. AAAI 2024: 16723-16731 - [c86]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI 2024: 16812-16820 - [c85]Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang:
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR 2024: 7027-7037 - [c84]Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo:
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-Speech Gesture Generation. CVPR 2024: 10424-10434 - [c83]Guanqun Wang, Jiaming Liu, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang:
Cloud-Device Collaborative Learning for Multimodal Large Language Models. CVPR 2024: 12646-12655 - [c82]Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang:
FreeKD: Knowledge Distillation via Semantic Frequency Prompt. CVPR 2024: 15931-15940 - [c81]Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang:
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything. CVPR 2024: 20352-20362 - [c80]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CVPR 2024: 28566-28577 - [c79]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CVPR 2024: 28653-28663 - [c78]Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang:
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. ECCV (33) 2024: 235-252 - [c77]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. ICLR 2024 - [c76]Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang:
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. ICLR 2024 - [c75]Rui Ma, Mengxi Guo, Peidong Jia, Chenxuan Li, Yi Hou, Yuan Li, Xiaodong Xie, Shanghang Zhang:
Enhanced Blind Watermarking Against Black-Box Noise: Leveraging CIN Framework. ICME 2024: 1-6 - [c74]Dongmei Zhang, Ray Zhang, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie, Shanghang Zhang:
VLUReID: Exploiting Vision-Language Knowledge for Unsupervised Person Re-Identification. ICME 2024: 1-6 - [c73]Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME 2024: 1-6 - [c72]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024 - [c71]Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu:
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. ICML 2024 - [c70]Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li:
Compositional Few-Shot Class-Incremental Learning. ICML 2024 - [c69]Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang:
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. ICRA 2024: 3044-3050 - [c68]Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. ICRA 2024: 9109-9116 - [c67]Jiaming Liu, Rongyu Zhang, Xiaoqi Li, Xiaowei Chi, Zehui Chen, Ming Lu, Yandong Guo, Shanghang Zhang:
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. ICRA 2024: 9487-9494 - [c66]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Hongwei Xie, Bing Wang, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. ICRA 2024: 12404-12411 - [c65]Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang:
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV 2024: 2020-2029 - [i113]Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu:
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. CoRR abs/2401.02695 (2024) - [i112]Mengfei Li, Ming Lu, Xiaofang Li, Shanghang Zhang:
RustNeRF: Robust Neural Radiance Field with Low-Quality Images. CoRR abs/2401.03257 (2024) - [i111]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i110]Jianing Li, Xi Nan, Ming Lu, Li Du, Shanghang Zhang:
Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis. CoRR abs/2401.17862 (2024) - [i109]Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li:
Building Flexible Machine Learning Models for Scientific Computing at Scale. CoRR abs/2402.16014 (2024) - [i108]Zehui Chen, Qiuchen Wang, Zhenyu Li, Jiaming Liu, Shanghang Zhang, Feng Zhao:
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track. CoRR abs/2402.17319 (2024) - [i107]Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu:
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. CoRR abs/2402.19007 (2024) - [i106]Yueru Jia, Yuhui Yuan, Aosong Cheng, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang:
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing. CoRR abs/2403.14487 (2024) - [i105]Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao:
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. CoRR abs/2403.15317 (2024) - [i104]Weifeng Lin, Xinyu Wei, Ruichuan An, Peng Gao, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li:
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want. CoRR abs/2403.20271 (2024) - [i103]Gaole Dai, Zhenyu Wang, Qinwen Xu, Ming Lu, Wen Chen, Boxin Shi, Shanghang Zhang, Tie-Jun Huang:
SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera. CoRR abs/2404.06710 (2024) - [i102]Yiwen Tang, Jiaming Liu, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li:
Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding. CoRR abs/2404.07989 (2024) - [i101]Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang:
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR abs/2404.08985 (2024) - [i100]Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang:
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. CoRR abs/2405.02363 (2024) - [i99]Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo:
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention. CoRR abs/2405.11616 (2024) - [i98]Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo:
Unveiling the Tapestry of Consistency in Large Vision-Language Models. CoRR abs/2405.14156 (2024) - [i97]Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang:
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR abs/2405.16486 (2024) - [i96]Xingqun Qi, Hengyuan Zhang, Yatian Wang, Jiahao Pan, Chen Liu, Peng Li, Xiaowei Chi, Mengfei Li, Qixun Zhang, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo:
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild. CoRR abs/2405.16874 (2024) - [i95]Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li:
Compositional Few-Shot Class-Incremental Learning. CoRR abs/2405.17022 (2024) - [i94]Jiaming Liu, Chenxuan Li, Guanqun Wang, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang:
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation. CoRR abs/2405.17418 (2024) - [i93]Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang:
Implicit Neural Image Field for Biological Microscopy Image Compression. CoRR abs/2405.19012 (2024) - [i92]Nan Huang, Xiaobao Wei, Wenzhao Zheng, Pengju An, Ming Lu, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. CoRR abs/2405.20323 (2024) - [i91]Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang:
RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. CoRR abs/2406.04339 (2024) - [i90]Guanqun Wang, Xinyu Wei, Jiaming Liu, Ray Zhang, Yichi Zhang, Kevin Zhang, Maurice Chong, Shanghang Zhang:
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception. CoRR abs/2406.15768 (2024) - [i89]Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang:
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR abs/2407.03442 (2024) - [i88]Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li:
MAVIS: Mathematical Visual Instruction Tuning. CoRR abs/2407.08739 (2024) - [i87]Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen:
Multimodal Large Language Models for Bioimage Analysis. CoRR abs/2407.19778 (2024) - [i86]Xiaowei Chi, Yatian Wang, Aosong Cheng, Pengjun Fang, Zeyue Tian, Yingqing He, Zhaoyang Liu, Xingqun Qi, Jiahao Pan, Rongyu Zhang, Mengfei Li, Ruibin Yuan, Yanbing Jiang, Wei Xue, Wenhan Luo, Qifeng Chen, Shanghang Zhang, Qifeng Liu, Yike Guo:
MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions. CoRR abs/2407.20962 (2024) - [i85]Zhongyu Zhao, Menghang Dong, Rongyu Zhang, Wenzhao Zheng, Yunpeng Zhang, Huanrui Yang, Dalong Du, Kurt Keutzer, Shanghang Zhang:
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. CoRR abs/2408.11855 (2024) - [i84]Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang:
Discovering Long-Term Effects on Parameter Efficient Fine-tuning. CoRR abs/2409.06706 (2024) - [i83]Xiaohong Liu, Guoxing Yang, Yulin Luo, Jiaji Mao, Xiang Zhang, Ming Gao, Shanghang Zhang, Jun Shen, Guangyu Wang:
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation. CoRR abs/2409.16183 (2024) - [i82]Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang:
The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports 14(1): 90-107 (2024) - 2023
- [j11]Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong:
Expanding the prediction capacity in long sequence time-series forecasting. Artif. Intell. 318: 103886 (2023) - [j10]Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao:
P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification. Remote. Sens. 15(7): 1773 (2023) - [j9]Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor:
Learning Deep Features for Robotic Inference From Physical Interactions. IEEE Trans. Cogn. Dev. Syst. 15(3): 985-999 (2023) - [j8]Yi Hou, Shanghang Zhang, Rui Ma, Huizhu Jia, Xiaodong Xie:
Frame-Recurrent Video Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5186-5199 (2023) - [j7]Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu:
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25: 792-804 (2023) - [c64]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CVPR 2023: 1190-1199 - [c63]Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang:
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CVPR 2023: 5291-5301 - [c62]Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu:
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR 2023: 7826-7835 - [c61]Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu:
Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR 2023: 11454-11463 - [c60]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. CVPR 2023: 12157-12166 - [c59]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CVPR 2023: 17461-17470 - [c58]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CVPR 2023: 19243-19253 - [c57]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR 2023: 20321-20330 - [c56]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC 2023: 1-6 - [c55]Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li:
BadRes: Reveal the Backdoors Through Residual Connection. ICASSP 2023: 1-5 - [c54]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao:
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. ICCV 2023: 2639-2650 - [c53]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV 2023: 3802-3812 - [c52]Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. ICCV 2023: 17489-17499 - [c51]Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei:
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023: 6158-6184 - [c50]Can Li, He Chen, Yin Zhuang, Shanghang Zhang:
Uncertainty-Aware Dynamic Learning for Cross-Domain Few-Shot Scene Classification from Remote Sensing Imagery. IGARSS 2023: 5778-5781 - [c49]Tianqi Liu, Shanghang Zhang, Yanjun Qin, Xiaoming Tao:
A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving. ITSC 2023: 3241-3246 - [c48]Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao:
Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. ITSC 2023: 3329-3334 - [c47]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. MICCAI (10) 2023: 323-332 - [c46]Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao:
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. NeurIPS 2023 - [c45]Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. NOSSDAV 2023: 1-7 - [c44]Kenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu:
When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X. HotMobile 2023: 42-48 - [i81]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i80]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CoRR abs/2303.07065 (2023) - [i79]Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang:
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CoRR abs/2303.08129 (2023) - [i78]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang:
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR abs/2303.09792 (2023) - [i77]Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang:
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal. CoRR abs/2303.13739 (2023) - [i76]Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, Shanghang Zhang:
Chain of Thought Prompt Tuning in Vision Language Models. CoRR abs/2304.07919 (2023) - [i75]Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR abs/2305.12356 (2023) - [i74]Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang:
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. CoRR abs/2306.04344 (2023) - [i73]Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang:
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. CoRR abs/2306.09117 (2023) - [i72]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. CoRR abs/2306.12109 (2023) - [i71]Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang:
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. CoRR abs/2307.00313 (2023) - [i70]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR abs/2308.07201 (2023) - [i69]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR abs/2308.10515 (2023) - [i68]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. CoRR abs/2309.09502 (2023) - [i67]Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang:
NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything. CoRR abs/2309.12790 (2023) - [i66]Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang:
Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. CoRR abs/2309.13604 (2023) - [i65]Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao:
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. CoRR abs/2310.07716 (2023) - [i64]Zihan Qiu, Zhen Liu, Shuicheng Yan, Shanghang Zhang, Jie Fu:
Heterogenous Memory Augmented Neural Networks. CoRR abs/2310.10909 (2023) - [i63]Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang:
FreeKD: Knowledge Distillation via Semantic Frequency Prompt. CoRR abs/2311.12079 (2023) - [i62]Peidong Jia, Chenxuan Li, Zeyu Liu, Yichao Shen, Xingru Chen, Yuhui Yuan, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, Baining Guo:
COLE: A Hierarchical Generation Framework for Graphic Design. CoRR abs/2311.16974 (2023) - [i61]Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang:
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything. CoRR abs/2311.17081 (2023) - [i60]Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo:
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation. CoRR abs/2311.17532 (2023) - [i59]Xiaowei Chi, Yijiang Liu, Zhengkai Jiang, Rongyu Zhang, Ziyi Lin, Renrui Zhang, Peng Gao, Chaoyou Fu, Shanghang Zhang, Qifeng Liu, Yike Guo:
ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model. CoRR abs/2311.17963 (2023) - [i58]Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun, Shanghang Zhang:
MoEC: Mixture of Experts Implicit Neural Compression. CoRR abs/2312.01361 (2023) - [i57]Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang:
Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. CoRR abs/2312.02923 (2023) - [i56]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR abs/2312.09148 (2023) - [i55]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR abs/2312.10136 (2023) - [i54]Nan Huang, Ting Zhang, Yuhui Yuan, Dong Chen, Shanghang Zhang:
Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior. CoRR abs/2312.11535 (2023) - [i53]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CoRR abs/2312.12480 (2023) - [i52]Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang:
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. CoRR abs/2312.14074 (2023) - [i51]Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang:
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection. CoRR abs/2312.14465 (2023) - [i50]Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang:
Iterative Prompt Relabeling for diffusion model with RLDF. CoRR abs/2312.16204 (2023) - [i49]Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang:
Cloud-Device Collaborative Learning for Multimodal Large Language Models. CoRR abs/2312.16279 (2023) - [i48]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR abs/2312.16610 (2023) - 2022
- [j6]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu:
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24: 1210-1220 (2022) - [j5]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c43]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. AISTATS 2022: 8852-8883 - [c42]Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu:
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CVPR 2022: 7267-7276 - [c41]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-Aware Neural Video Delivery. ECCV (18) 2022: 308-324 - [c40]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c39]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR 2022 - [c38]Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei:
DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022: 4010-4034 - [c37]Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. ICRA 2022: 9243-9250 - [c36]Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. IJCAI 2022: 4216-4222 - [c35]Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu:
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS 2022 - [c34]Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li:
Jump Self-attention: Capturing High-order Statistics in Transformers. NeurIPS 2022 - [c33]Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li:
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. NeurIPS 2022 - [c32]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i47]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR abs/2202.11946 (2022) - [i46]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i45]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - [i44]Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. CoRR abs/2206.09591 (2022) - [i43]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. CoRR abs/2207.01987 (2022) - [i42]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-aware Neural Video Delivery. CoRR abs/2207.09691 (2022) - [i41]Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. CoRR abs/2208.12527 (2022) - [i40]Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. CoRR abs/2208.12653 (2022) - [i39]Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li:
BadRes: Reveal the Backdoors through Residual Connection. CoRR abs/2209.07125 (2022) - [i38]Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu:
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR abs/2209.13325 (2022) - [i37]Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li:
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. CoRR abs/2210.04524 (2022) - [i36]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao:
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. CoRR abs/2211.11682 (2022) - [i35]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR abs/2211.16056 (2022) - [i34]Jiaming Liu, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. CoRR abs/2211.17126 (2022) - [i33]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. CoRR abs/2212.00623 (2022) - [i32]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. CoRR abs/2212.00972 (2022) - [i31]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CoRR abs/2212.01231 (2022) - [i30]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR abs/2212.02770 (2022) - 2021
- [j4]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [c31]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. AAAI 2021: 11106-11115 - [c30]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c29]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c28]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. ICASSP 2021: 8203-8207 - [c27]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. ICCV 2021: 734-743 - [c26]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. ICCV 2021: 8846-8855 - [c25]Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang:
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM 2021: 1481-1486 - [c24]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations via Invertible Generative Flows. ICLR 2021 - [c23]Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang:
Triplet Attention: Rethinking the Similarity in Transformers. KDD 2021: 2378-2388 - [c22]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia 2021: 487-495 - [c21]Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura:
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia 2021: 741-749 - [c20]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439 - [i29]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i28]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i27]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. CoRR abs/2106.06526 (2021) - [i26]Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu:
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CoRR abs/2106.07617 (2021) - [i25]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. CoRR abs/2107.02575 (2021) - [i24]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. CoRR abs/2107.11355 (2021) - [i23]Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang:
2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. CoRR abs/2110.14240 (2021) - 2020
- [j3]Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020) - [c19]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-Source Distilling Domain Adaptation. AAAI 2020: 12975-12983 - [c18]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) 2020: 171-188 - [c17]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-training for Unsupervised Domain Adaptation. ECCV (26) 2020: 415-430 - [c16]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI 2020: 4018-4024 - [c15]Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia 2020: 156-164 - [i22]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations from/for Image Generation. CoRR abs/2004.11820 (2020) - [i21]Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR abs/2005.06047 (2020) - [i20]Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer:
Rethinking Distributional Matching Based Domain Adaptation. CoRR abs/2006.13352 (2020) - [i19]Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie:
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR abs/2007.04234 (2020) - [i18]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR abs/2007.06793 (2020) - [i17]Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian:
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR abs/2008.03128 (2020) - [i16]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-Training for Unsupervised Domain Adaptation. CoRR abs/2008.12197 (2020) - [i15]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i14]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i13]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization. CoRR abs/2010.16088 (2020) - [i12]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. CoRR abs/2011.14478 (2020) - [i11]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. CoRR abs/2012.02943 (2020) - [i10]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. CoRR abs/2012.07436 (2020) - [i9]Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong:
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. CoRR abs/2012.13089 (2020)
2010 – 2019
- 2019
- [j2]Chuang Zhu, Huihui Dong, Shanghang Zhang:
Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining. IEEE Access 7: 161858-161870 (2019) - [c14]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. NeurIPS 2019: 5891-5900 - [c13]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. NeurIPS 2019: 6143-6154 - [i8]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. CoRR abs/1907.05570 (2019) - [i7]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. CoRR abs/1909.13154 (2019) - [i6]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Distilling Domain Adaptation. CoRR abs/1911.11554 (2019) - 2018
- [b1]Shanghang Zhang:
Deep Understanding of Urban Mobility from CityscapeWebcams. Carnegie Mellon University, USA, 2018 - [c12]Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira, José M. F. Moura:
Learning to Understand Image Blur. CVPR 2018: 6586-6595 - [c11]Rajshekhar Das, Akshay Gadre, Shanghang Zhang, Swarun Kumar, José M. F. Moura:
A Deep Learning Approach to IoT Authentication. ICC 2018: 1-6 - [c10]Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon:
Multiple Source Domain Adaptation with Adversarial Learning. ICLR (Workshop) 2018 - [c9]Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon:
Adversarial Multiple Source Domain Adaptation. NeurIPS 2018: 8568-8579 - [i5]Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang:
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR abs/1810.06033 (2018) - 2017
- [c8]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
Understanding Traffic Density from Large-Scale Web Camera Data. CVPR 2017: 4264-4273 - [c7]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. ICCV 2017: 3687-3696 - [i4]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
Understanding Traffic Density from Large-Scale Web Camera Data. CoRR abs/1703.05868 (2017) - [i3]Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon:
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks. CoRR abs/1705.09684 (2017) - [i2]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. CoRR abs/1707.09476 (2017) - [i1]Jian Du, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Soummya Kar:
Topology adaptive graph convolutional networks. CoRR abs/1710.10370 (2017) - 2015
- [c6]Evgeny Toropov, Liangyan Gui, Shanghang Zhang, Satwik Kottur, José M. F. Moura:
Traffic flow from a low frame rate city camera. ICIP 2015: 3802-3806 - 2014
- [c5]Shanghang Zhang, Xin Li, Ronald D. Blanton, José Machado da Silva, John M. Carulli Jr., Kenneth M. Butler:
Bayesian model fusion: Enabling test cost reduction of analog/RF circuits via wafer-level spatial variation modeling. ITC 2014: 1-10 - 2013
- [j1]Chuang Zhu, Huizhu Jia, Shanghang Zhang, Xiaofeng Huang, Xiaodong Xie, Wen Gao:
On a Highly Efficient RDO-Based Mode Decision Pipeline Design for AVS. IEEE Trans. Multim. 15(8): 1815-1829 (2013) - [c4]Yuan Li, Shanghang Zhang, Huizhu Jia, Xiaodong Xie, Wen Gao:
A high-throughput low-latency arithmetic encoder design for HDTV. ISCAS 2013: 998-1001 - 2012
- [c3]Kaijin Wei, Rongwei Zhou, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao:
An Optimized Hardware Video Encoder for AVS with Level C+ Data Reuse Scheme for Motion Estimation. ICME 2012: 1055-1060 - [c2]Kaijin Wei, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao:
A flexible and high-performance hardware video encoder architecture. PCS 2012: 373-376 - [c1]Shanghang Zhang, Kaijin Wei, Huizhu Jia, Xiaodong Xie, Wen Gao:
An efficient foreground-based surveillance video coding scheme in low bit-rate compression. VCIP 2012: 1-6
Coauthor Index
[j12] [c89] [c88] [c86] [c83] [c82] [c81] [c79] [c76] [c69] [c68] [c67] [c66] [i108] [i105] [i102] [i100] [i97] [i94] [i91] [i90] [i88] [c60] [c59] [c47] [c45] [i78] [i74] [i73] [i72] [i71] [i68] [i67] [i66] [i63] [i57] [i53] [i52] [i49] [i48] [c41] [c40] [i46] [i42] [i41] [i40] [i34] [i33] [i32] [i31]
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-31 20:14 CET by the dblp team
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