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ORCIDShivam Chandhok
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2020 – today
- 2024
[c8]Marilyn Keller, Vaibhav Arora, Abdelmouttaleb Dakri, Shivam Chandhok, Jürgen Machann, Andreas Fritsche, Michael J. Black, Sergi Pujades:
HIT: Estimating Internal Human Implicit Tissues from the Body Surface. CVPR 2024: 3480-3490- [c7]Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun K. Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. ICRA 2024: 16345-16352 - [i14]Shivam Chandhok, Wan-Cyuan Fan, Leonid Sigal:
Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities. CoRR abs/2408.06721 (2024) - [i13]Shivam Chandhok, Pranav Tandon:
Do Vision-Language Foundational models show Robust Visual Perception? CoRR abs/2408.06781 (2024) - [i12]Shivam Chandhok:
SceneGPT: A Language Model for 3D Scene Understanding. CoRR abs/2408.06926 (2024) - [i11]Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal:
MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). CoRR abs/2410.04778 (2024) - 2023
- [j2]Rohith Rajesh, Sumit Jagdish Darak
, Akshay Jain, Shivam Chandhok, Animesh Sharma:
Hardware-Software Co-Design of Statistical and Deep-Learning Frameworks for Wideband Sensing on Zynq System on Chip. IEEE Trans. Very Large Scale Integr. Syst. 31(1): 79-89 (2023) - [i10]Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas, Shivam Chandhok, Saketha Nath Jagarlapudi:
Empirical Optimal Transport between Conditional Distributions. CoRR abs/2305.15901 (2023) - [i9]Vikrant Dewangan, Tushar Choudhary, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. CoRR abs/2310.02251 (2023) - 2022
- [c6]Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian:
Unseen Classes at a Later Time? No Problem. CVPR 2022: 9235-9244 - [c5]Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. WACV 2022: 1618-1627 - [i8]Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian:
Unseen Classes at a Later Time? No Problem. CoRR abs/2203.16517 (2022) - [i7]Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR abs/2206.05912 (2022) - [i6]Rohith Rajesh, Sumit Jagdish Darak, Akshay Jain, Shivam Chandhok, Animesh Sharma:
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip. CoRR abs/2209.02661 (2022) - 2021
- [j1]Shivam Chandhok, Himani Joshi, A. Venkata Subramanyam, Sumit Jagdish Darak:
Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate. Wirel. Networks 27(7): 4727-4746 (2021) - [c4]Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, Sumit Jagdish Darak, Danilo Pietro Pau, Hemdutt Dabral:
Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. AIMLSystems 2021: 10:1-10:7 - [c3]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC 2021: 207 - [c2]Shivam Chandhok, Vineeth N. Balasubramanian:
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. WACV 2021: 3099-3107 - [i5]Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian:
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. CoRR abs/2107.04952 (2021) - [i4]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.05622 (2021) - [i3]Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.07497 (2021) - 2020
- [i2]Shivam Chandhok, Vineeth N. Balasubramanian:
Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. CoRR abs/2007.07757 (2020)
2010 – 2019
- 2019
- [c1]Shivam Chandhok, Himani Joshi, Sumit Jagdish Darak, A. Venkata Subramanyam:
LSTM Guided Modulation Classification and Experimental Validation for Sub-Nyquist Rate Wideband Spectrum Sensing. COMSNETS 2019: 458-460 - [i1]Shivam Chandhok, Himani Joshi, A. Venkata Subramanyam, Sumit Jagdish Darak:
SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network. CoRR abs/1912.05255 (2019)
Coauthor Index
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