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2020 – today
- 2024
[c45]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou:
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. ACL (Findings) 2024: 16189-16211- [c44]Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain:
DocScript: Document-level Script Event Prediction. LREC/COLING 2024: 5140-5155 - [c43]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CVPR 2024: 9182-9191 - [c42]Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CVPR 2024: 22584-22594 - [c41]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024 - [c40]Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun:
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR 2024 - [c39]Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
LRM: Large Reconstruction Model for Single Image to 3D. ICLR 2024 - [c38]Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu:
Category-Aware Active Domain Adaptation. ICML 2024 - [c37]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. NAACL-HLT (Findings) 2024: 196-210 - [i53]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou:
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR abs/2402.09469 (2024) - [i52]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou:
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR abs/2402.10110 (2024) - [i51]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - [i50]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR abs/2405.03251 (2024) - [i49]Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin:
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR abs/2405.05219 (2024) - [i48]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR abs/2405.16411 (2024) - [i47]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR abs/2405.16418 (2024) - [i46]Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CoRR abs/2406.06730 (2024) - [i45]Sanket Biswas, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Puneet Mathur, Curtis Wigington, Tong Sun, Josep Lladós:
DocSynthv2: A Practical Autoregressive Modeling for Document Generation. CoRR abs/2406.08354 (2024) - [i44]Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun:
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR abs/2406.09305 (2024) - [i43]Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR abs/2406.12044 (2024) - [i42]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang:
Toward Infinite-Long Prefix in Transformer. CoRR abs/2406.14036 (2024) - [i41]Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR abs/2407.13621 (2024) - [i40]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR abs/2407.14717 (2024) - [i39]Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun:
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR abs/2407.19185 (2024) - [i38]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - [i37]Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu:
Fast John Ellipsoid Computation with Differential Privacy Optimization. CoRR abs/2408.06395 (2024) - [i36]Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan Rossi, Jiuxiang Gu, Changyou Chen:
MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR abs/2408.14594 (2024) - [i35]Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024) - [i34]Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin:
ImageFolder: Autoregressive Image Generation with Folded Tokens. CoRR abs/2410.01756 (2024) - 2023
- [j3]Lu Qi
, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia:
Open World Entity Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8743-8756 (2023) - [c36]Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. AAAI 2023: 1914-1922 - [c35]Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova:
Learning the Visualness of Text Using Large Vision-Language Models. EMNLP 2023: 2394-2408 - [c34]Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova:
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 2023: 4973-4999 - [c33]Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
High Quality Entity Segmentation. ICCV 2023: 4024-4033 - [c32]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation for Anything. NeurIPS 2023 - [c31]Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu:
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV 2023: 3599-3609 - [i33]Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova:
Learning the Visualness of Text Using Large Vision-Language Models. CoRR abs/2305.10434 (2023) - [i32]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation. CoRR abs/2305.17768 (2023) - [i31]Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun:
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR abs/2306.17107 (2023) - [i30]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou:
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR abs/2310.11716 (2023) - [i29]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR abs/2310.16790 (2023) - [i28]Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
LRM: Large Reconstruction Model for Single Image to 3D. CoRR abs/2311.04400 (2023) - [i27]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CoRR abs/2312.03045 (2023) - 2022
- [c30]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun:
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI 2022: 3580-3588 - [c29]Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu:
UNISON: Unpaired Cross-Lingual Image Captioning. AAAI 2022: 10654-10662 - [c28]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c27]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. IEEE Big Data 2022: 1465-1474 - [c26]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR 2022: 7010-7021 - [c25]Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
Towards Language-Free Training for Text-to-Image Generation. CVPR 2022: 17886-17896 - [c24]Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie:
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR 2022: 18030-18040 - [c23]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia:
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. ECCV (31) 2022: 59-77 - [c22]Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu:
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. ECCV (27) 2022: 374-390 - [c21]Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu:
Improving the Reliability for Confidence Estimation. ECCV (27) 2022: 391-408 - [c20]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. EMNLP 2022: 3984-3993 - [c19]Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha:
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH 2022: 451-455 - [c18]Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain:
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT 2022: 993-1009 - [c17]Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li:
Delving into Out-of-Distribution Detection with Vision-Language Representations. NeurIPS 2022 - [c16]Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW 2022: 1839-1850 - [i26]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun:
Unified Pretraining Framework for Document Understanding. CoRR abs/2204.10939 (2022) - [i25]Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu:
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. CoRR abs/2207.11441 (2022) - [i24]Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu:
Improving the Reliability for Confidence Estimation. CoRR abs/2210.06776 (2022) - [i23]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. CoRR abs/2211.01141 (2022) - [i22]Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
Fine-Grained Entity Segmentation. CoRR abs/2211.05776 (2022) - [i21]Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li:
Delving into Out-of-Distribution Detection with Vision-Language Representations. CoRR abs/2211.13445 (2022) - [i20]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. CoRR abs/2211.14958 (2022) - 2021
- [c15]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CVPR 2021: 5652-5660 - [c14]Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu:
Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection. CVPR 2021: 10482-10491 - [c13]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CVPR 2021: 14443-14453 - [c12]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT 2021: 915-929 - [c11]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun:
UniDoc: Unified Pretraining Framework for Document Understanding. NeurIPS 2021: 39-50 - [i19]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR abs/2103.06922 (2021) - [i18]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - [i17]Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia:
Open-World Entity Segmentation. CoRR abs/2107.14228 (2021) - [i16]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CoRR abs/2109.06875 (2021) - [i15]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR abs/2111.12698 (2021) - [i14]Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR abs/2111.13792 (2021) - [i13]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia:
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. CoRR abs/2112.04966 (2021) - 2020
- [j2]Xiangxi Shi, Jianfei Cai, Jiuxiang Gu, Shafiq R. Joty:
Video captioning with boundary-aware hierarchical language decoding and joint video prediction. Neurocomputing 417: 347-356 (2020) - [c10]Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai:
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. ECCV (14) 2020: 574-590 - [c9]Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun:
Self-Supervised Relationship Probing. NeurIPS 2020 - [i12]Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai:
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. CoRR abs/2009.14352 (2020) - [i11]Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu:
Unsupervised Cross-lingual Image Captioning. CoRR abs/2010.01288 (2020)
2010 – 2019
- 2019
- [c8]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR 2019: 1969-1978 - [c7]Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang:
Unpaired Image Captioning via Scene Graph Alignments. ICCV 2019: 10322-10331 - [c6]Xiangxi Shi, Jianfei Cai, Shafiq R. Joty, Jiuxiang Gu:
Watch It Twice: Video Captioning with a Refocused Video Encoder. ACM Multimedia 2019: 818-826 - [i10]Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang:
Unpaired Image Captioning via Scene Graph Alignments. CoRR abs/1903.10658 (2019) - [i9]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR abs/1904.00560 (2019) - [i8]Xiangxi Shi, Jianfei Cai, Shafiq R. Joty, Jiuxiang Gu:
Watch It Twice: Video Captioning with a Refocused Video Encoder. CoRR abs/1907.12905 (2019) - [i7]Shuhan Yao, Jiuxiang Gu, Peng Wang, Tianyang Zhao, Huajun Zhang, Xiaochuan Liu:
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach. CoRR abs/1911.02206 (2019) - 2018
- [j1]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen:
Recent advances in convolutional neural networks. Pattern Recognit. 77: 354-377 (2018) - [c5]Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen:
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. AAAI 2018: 6837-6844 - [c4]Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang:
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models. CVPR 2018: 7181-7189 - [c3]Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Gang Wang:
Unpaired Image Captioning by Language Pivoting. ECCV (1) 2018: 519-535 - [c2]Muhammet Bastan, Xiangxi Shi, Jiuxiang Gu, Zhao Heng, Chen Zhuo, Dennis Sng, Alex C. Kot:
NTU ROSE Lab at TRECVID 2018: Ad-hoc Video Search and Video to Text. TRECVID 2018 - [i6]Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Gang Wang:
Unpaired Image Captioning by Language Pivoting. CoRR abs/1803.05526 (2018) - [i5]Xiangxi Shi, Jianfei Cai, Jiuxiang Gu, Shafiq R. Joty:
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction. CoRR abs/1807.03658 (2018) - 2017
- [c1]Jiuxiang Gu, Gang Wang, Jianfei Cai, Tsuhan Chen:
An Empirical Study of Language CNN for Image Captioning. ICCV 2017: 1231-1240 - [i4]Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen:
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. CoRR abs/1709.03376 (2017) - [i3]Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang:
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models. CoRR abs/1711.06420 (2017) - 2016
- [i2]Jiuxiang Gu, Gang Wang, Tsuhan Chen:
Recurrent Highway Networks with Language CNN for Image Captioning. CoRR abs/1612.07086 (2016) - 2015
- [i1]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang:
Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 (2015)
Coauthor Index
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