| Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning E Sachdeva*, N Agarwal*, S Chundi, S Roelofs, J Li, M Kochenderfer, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 35 | 2024 |
| AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? Q Zhao, C Zhang, S Wang, C Fu, N Agarwal, K Lee, C Sun ICLR 2024, 2023 | 34 | 2023 |
| Improving multiclass classification by deep networks using DAGSVM and Triplet Loss N Agarwal, VN Balasubramanian, CV Jawahar Pattern Recognition Letters 112, 184-190, 2018 | 30 | 2018 |
| A study on computer vision techniques for self-driving cars N Agarwal, CW Chiang, A Sharma Frontier Computing: Theory, Technologies and Applications (FC 2018) 7, 629-634, 2019 | 24 | 2019 |
| Weakly-supervised online action segmentation in multi-view instructional videos R Ghoddoosian, I Dwivedi, N Agarwal, C Choi, B Dariush Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Latency Matters: Real-Time Action Forecasting Transformer H Girase, N Agarwal, C Choi, K Mangalam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Weakly-supervised action segmentation and unseen error detection in anomalous instructional videos R Ghoddoosian, I Dwivedi, N Agarwal, B Dariush Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| Object-centric video representation for long-term action anticipation C Zhang, C Fu, S Wang, N Agarwal, K Lee, C Choi, C Sun Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 14 | 2024 |
| Unsupervised domain adaptation for spatio-temporal action localization N Agarwal, YT Chen, B Dariush, MH Yang The British Machine Vision Conference (BMVC), 2020 | 14 | 2020 |
| Changing scenario of cotton insect pests and their management strategies AK Dhawan, PS Shera, V Jindal, N Aggarwal Cotton in Punjab. Dept. Plant Breeding, Genetics and Biotechnology, Punjab …, 2008 | 11 | 2008 |
| Vamos: Versatile action models for video understanding S Wang, Q Zhao, MQ Do, N Agarwal, K Lee, C Sun arXiv preprint arXiv:2311.13627, 2023 | 9 | 2023 |
| Real-time traffic light signal recognition system for a self-driving car N Agarwal, A Sharma, JR Chang Advances in Signal Processing and Intelligent Recognition Systems …, 2018 | 9 | 2018 |
| Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models H Mittal, N Agarwal, SY Lo, K Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Adamsformer for spatial action localization in the future H Chi, K Lee, N Agarwal, Y Xu, K Ramani, C Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Control of Springback and Dimensional Tolerances in Forming of Advanced High Strength Steel (AHSS) Parts, Part I: Load-Unload Tensile Test and V-Die Bending N Kardes, Y Demiralp, G Sukumaran, C Choi, H Kim, J Gonzalez-Mendez, ... CPF Report no: CPF 1 (10), 01, 2011 | 5 | 2011 |
| M2d2m: Multi-motion generation from text with discrete diffusion models S Chi, H Chi, H Ma, N Agarwal, F Siddiqui, K Ramani, K Lee European Conference on Computer Vision, 18-36, 2025 | 3 | 2025 |
| Uncertainty-aware Action Decoupling Transformer for Action Anticipation H Guo, N Agarwal, SY Lo, K Lee, Q Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Ordered atomic activity for fine-grained interactive traffic scenario understanding N Agarwal, YT Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Risk perception in driving scenes N Agarwal, YT Chen Proceedings of Workshop on Machine Learning for Autonomous Driving at NeurIPS, 2022 | 3 | 2022 |
| Disentangled neural relational inference for interpretable motion prediction VM Dax, J Li, E Sachdeva, N Agarwal, MJ Kochenderfer IEEE Robotics and Automation Letters, 2023 | 2 | 2023 |
Behzad DariushHonda Research Institute USAVerified email at honda-ri.com
