| Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving V Dewangan*, T Choudhary*, S Chandhok*, S Priyadarshan, A Jain, ... ICRA 2024, 2023 | 39* | 2023 |
| Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate S Chandhok, H Joshi, AV Subramanyam, SJ Darak Wireless Networks Journal 27 (7), 4727-4746, 2021 | 23 | 2021 |
| LSTM guided modulation classification and experimental validation for sub-nyquist rate wideband spectrum sensing S Chandhok, H Joshi, SJ Darak, AV Subramanyam 2019 11th International Conference on Communication Systems & Networks …, 2019 | 19 | 2019 |
| Two-level adversarial visual-semantic coupling for generalized zero-shot learning S Chandhok, VN Balasubramanian Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 13 | 2021 |
| Unseen Classes at a Later Time? No Problem HC Kuchibhotla, SS Malagi, S Chandhok, VN Balasubramanian CVPR 2022, 2022 | 12 | 2022 |
| Hardware–software co-design of statistical and deep-learning frameworks for wideband sensing on Zynq system on chip R Rajesh, SJ Darak, A Jain, S Chandhok, A Sharma IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (1), 79-89, 2022 | 8 | 2022 |
| Talk2BEV: Language-enhanced Bird’s-eye view maps for autonomous driving T Choudhary, V Dewangan, S Chandhok, S Priyadarshan, A Jain, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 16345 …, 2024 | 7 | 2024 |
| Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains S Chandhok, S Narayan, H Cholakkal, RM Anwer, VN Balasubramanian, ... Proceedings of British Machine Vision Conference 2021, 2021 | 7 | 2021 |
| SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network S Chandhok, H Joshi, AV Subramanyam, SJ Darak ArXiv preprint, 1912 | 6 | 1912 |
| Empirical Optimal Transport between conditional distributions P Manupriya, RK Das, S Biswas, S Chandhok, SN Jagarlapudi arXiv preprint arXiv:2305.15901, 2023 | 3 | 2023 |
| INDIGO: Intrinsic Multimodality for Domain Generalization P Mangla*, S Chandhok*, M Aggarwal, VN Balasubramanian, ... arXiv preprint arXiv:2206.05912, 2022 | 3 | 2022 |
| Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities S Chandhok, WC Fan, L Sigal ECCV Workshop 2024 (EVAL-FoMo), 2024 | 2 | 2024 |
| COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains P Mangla*, S Chandhok*, VN Balasubramanian, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 2 | 2022 |
| Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers P Sahoo, R Rajoria, S Chandhok, SJ Darak, D Pau, HD Dabral International Conference on AI-MLSystems 2021, 2021 | 2 | 2021 |
| Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains P Mangla*, S Chandhok*, VN Balasubramanian, ... Accepted at WACV 2022 and IJCAI 2021, Weakly Supervised Representation …, 2021 | 2 | 2021 |
| Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision G Bhatt, S Chandhok, VN Balasubramanian Accepted at IJCAI 2021, Weakly Supervised Representation Learning Workshop, 2021 | 2 | 2021 |
| SceneGPT: A Language Model for 3D Scene Understanding S Chandhok University of British Columbia Report, 2024 | 1 | 2024 |
| HIT: Estimating Internal Human Implicit Tissues from the Body Surface M Keller, V Arora, A Dakri, S Chandhok, J Machann, A Fritsche, MJ Black, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| MM-R: On (In-)Consistency of Multi-modal Large Language Models (MLLMs) SH Chou, S Chandhok, JJ Little, L Sigal arXiv preprint arXiv:2410.04778, 2024 | | 2024 |
| Do Vision-Language Foundational models show Robust Visual Perception? S Chandhok, P Tandon University of British Columbia Report, 2024 | | 2024 |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaVerified email at iith.ac.in
