LSTM Guided Modulation Classification and Experimental Validation for Sub-Nyquist Rate Wideband Spectrum Sensing. - Shivam Chandhok; Himani Joshi; Sumit Jagdish Darak; A. Venkata Subramanyam (COMSNETS, 2019)

SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network. - Shivam Chandhok; Himani Joshi; A. Venkata Subramanyam; Sumit Jagdish Darak (CoRR, 2019)

Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. - Shivam Chandhok; Vineeth N. Balasubramanian (CoRR, 2020)

Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. - Piyush Sahoo; Romesh Rajoria; Shivam Chandhok; Sumit Jagdish Darak; Danilo Pietro Pau; Hemdutt Dabral (AIMLSystems, 2021)

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. - Shivam Chandhok; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Vineeth N. Balasubramanian; Fahad Shahbaz Khan; Ling Shao 001 (BMVC, 2021)

Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. - Shivam Chandhok; Vineeth N. Balasubramanian (WACV, 2021)

Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. - Gaurav Bhatt; Shivam Chandhok; Vineeth N. Balasubramanian (CoRR, 2021)

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (CoRR, 2021)

Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate. - Shivam Chandhok; Himani Joshi; A. Venkata Subramanyam; Sumit Jagdish Darak (Wirel. Networks, 2021)

Unseen Classes at a Later Time? No Problem. - Hari Chandana Kuchibhotla; Sumitra S. Malagi; Shivam Chandhok; Vineeth N. Balasubramanian (CVPR, 2022)

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (WACV, 2022)

INDIGO: Intrinsic Multimodality for Domain Generalization. - Puneet Mangla; Shivam Chandhok; Milan Aggarwal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2022)

Empirical Optimal Transport between Conditional Distributions. - Piyushi Manupriya; Rachit Keerti Das; Sayantan Biswas; Shivam Chandhok; Saketha Nath Jagarlapudi (CoRR, 2023)

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. - Vikrant Dewangan; Tushar Choudhary; Shivam Chandhok; Shubham Priyadarshan; Anushka Jain; Arun Kumar Singh 001; Siddharth Srivastava 004; Krishna Murthy Jatavallabhula; K. Madhava Krishna (CoRR, 2023)

Hardware-Software Co-Design of Statistical and Deep-Learning Frameworks for Wideband Sensing on Zynq System on Chip. - Rohith Rajesh; Sumit Jagdish Darak; Akshay Jain; Shivam Chandhok; Animesh Sharma (IEEE Trans. Very Large Scale Integr. Syst., 2023)

HIT: Estimating Internal Human Implicit Tissues from the Body Surface. - Marilyn Keller; Vaibhav Arora; Abdelmouttaleb Dakri; Shivam Chandhok; Jürgen Machann; Andreas Fritsche; Michael J. Black; Sergi Pujades (CVPR, 2024)

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. - Tushar Choudhary; Vikrant Dewangan; Shivam Chandhok; Shubham Priyadarshan; Anushka Jain; Arun K. Singh; Siddharth Srivastava 004; Krishna Murthy Jatavallabhula; K. Madhava Krishna (ICRA, 2024)

Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities. - Shivam Chandhok; Wan-Cyuan Fan; Leonid Sigal (CoRR, 2024)

Do Vision-Language Foundational models show Robust Visual Perception? - Shivam Chandhok; Pranav Tandon (CoRR, 2024)

SceneGPT: A Language Model for 3D Scene Understanding. - Shivam Chandhok (CoRR, 2024)

MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). - Shih-Han Chou; Shivam Chandhok; James J. Little; Leonid Sigal (CoRR, 2024)

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. - Shivam Chandhok; Wan-Cyuan Fan; Vered Shwartz; Vineeth N. Balasubramanian; Leonid Sigal (ACL (1), 2025)

MM-R³: On (In-)Consistency of Vision-Language Models (VLMs). - Shih-Han Chou; Shivam Chandhok; Jim Little 001; Leonid Sigal (ACL (Findings), 2025)

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection. - Shivam Chandhok; Qian Yang; Oscar Mañas; Kanishk Jain; Leonid Sigal; Aishwarya Agrawal (CoRR, 2025)

Test-Time Consistency in Vision Language Models. - Shih-Han Chou; Shivam Chandhok; James J. Little; Leonid Sigal (CoRR, 2025)