| Aerial multi-object tracking by detection using deep association networks A Jadhav, P Mukherjee, V Kaushik, B Lall 2020 National Conference on Communications (NCC), 1-6, 2020 | 28 | 2020 |
| Visdrone-mot2019: The vision meets drone multiple object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| ADAADepth: Adapting data augmentation and attention for self-supervised monocular depth estimation V Kaushik, K Jindgar, B Lall IEEE Robotics and Automation Letters 6 (4), 7791-7798, 2021 | 16 | 2021 |
| Nrityantar: Pose oblivious Indian classical dance sequence classification system V Kaushik, P Mukherjee, B Lall Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018 | 10 | 2018 |
| OptiDistillNet: Learning nonlinear pulse propagation using the student-teacher model N Gautam, V Kaushik, A Choudhary, B Lall Optics Express 30 (23), 42430-42439, 2022 | 8 | 2022 |
| AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting S Bhugra, V Kaushik, A Gupta, B Lall, S Chaudhury Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Deep feature fusion for self-supervised monocular depth prediction V Kaushik, B Lall arXiv preprint arXiv:2005.07922, 2020 | 4 | 2020 |
| Undispnet: Unsupervised learning for multi-stage monocular depth prediction V Kaushik, B Lall 2019 International Conference on 3D Vision (3DV), 633-642, 2019 | 4 | 2019 |
| MaskMTL: Attribute prediction in masked facial images with deep multitask learning P Mukherjee, V Kaushik, R Gupta, R Jha, D Kankanwadi, B Lall arXiv preprint arXiv:2201.03002, 2022 | 3 | 2022 |
| Unsupervised learning of affinity for image segmentation: An inpainting based approach S Bhugra, V Kaushik, IC Mateos, S Chaudhury, B Lall 2021 36th International Conference on Image and Vision Computing New Zealand …, 2021 | 2 | 2021 |
| Data driven sensing for action recognition using deep convolutional neural networks R Gupta, P Anand, V Kaushik, S Chaudhury, B Lall International conference on pattern recognition and machine intelligence …, 2019 | 2 | 2019 |
| Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn S Pathak, V Kaushik, B Lall arXiv preprint arXiv:2310.05024, 2023 | 1 | 2023 |
| Hierarchical multi-task learning via task affinity groupings S Srivastava, S Bhugra, V Kaushik, B Lall 2023 IEEE International Conference on Image Processing (ICIP), 3289-3293, 2023 | 1 | 2023 |
| Plant Data Generation with Generative AI: An Application to Plant Phenotyping S Bhugra, S Srivastava, V Kaushik, P Mukherjee, B Lall Applications of Generative AI, 503-535, 2024 | | 2024 |
| Marker-Free Computer Vision for Human Motion Analysis: A Review V Kaushik, S Bhugra, A Gupta, B Lall 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW …, 2023 | | 2023 |
| TARSNet: Topology Aware Root Segmentation Network for plant phenotyping S Bhugra, P Mukherjee, V Kaushik, R Jha, B Lall, S Chaudhury Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022 | | 2022 |
| Knowledge Distillation for learning nonlinear pulse propagation N Gautam, V Kaushik, A Choudhary, B Lall Frontiers in Optics, JTu5B. 61, 2022 | | 2022 |
| Unsupervised Machine Learning Methods to Understand Relaxation Effect of Fragrances through EEG Technique. C Mhaskar, V Kaushik, A Arjula SOFW Journal (German version) 147 (9), 2021 | | 2021 |
| Data Adaptive Compressed Sensing using deep neural network for Image recognition R Gupta, A Kumar, S Chaudhury, B Lall, V Kaushik 2020 National Conference on Communications (NCC), 1-5, 2020 | | 2020 |
| Fast Hierarchical Depth Map Computation from Stereo V Kaushik, B Lall arXiv preprint arXiv:1901.09593, 2019 | | 2019 |
Brejesh LallProfessor, Elect. Engg., IIT DelhiVerified email at ee.iitd.ac.in
