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Nakul Agarwal
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2020 – today
- 2024
- [j2]Victoria Magdalena Dax
, Jiachen Li
Disentangled Neural Relational Inference for Interpretable Motion Prediction. IEEE Robotics Autom. Lett. 9(2): 1452-1459 (2024) - [c14]Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee:
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CVPR 2024: 18580-18590 - [c13]Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji:
Uncertainty-aware Action Decoupling Transformer for Action Anticipation. CVPR 2024: 18644-18654 - [c12]Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun:
Vamos: Versatile Action Models for Video Understanding. ECCV (12) 2024: 142-160 - [c11]Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun:
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? ICLR 2024 - [c10]Olivier Jeunen
Multi-Objective Recommendation via Multivariate Policy Learning. RecSys 2024: 712-721 - [c9]Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun:
Object-centric Video Representation for Long-term Action Anticipation. WACV 2024: 6737-6747 - [c8]Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush:
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV 2024: 7498-7507 - [i12]Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer:
Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR abs/2401.03599 (2024) - [i11]Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko:
Multi-Objective Recommendation via Multivariate Policy Learning. CoRR abs/2405.02141 (2024) - [i10]Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee:
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CoRR abs/2405.20305 (2024) - [i9]Seung-geun Chi, Hyung-Gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee:
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models. CoRR abs/2407.14502 (2024) - [i8]Yash Rampuria, Deep Boliya, Shreyash Gupta, Gopalan Iyengar, Ayush Rohilla, Mohak Vyas, Chaitanya Langde, Mehul Vijay Chanda, Ronak Gautam Matai, Kothapalli Namitha, Ajinkya Pawar, Bhaskar Biswas, Nakul Agarwal, Rajit Khandelwal, Rohan Kumar, Shubham Agarwal, Vishwam Patel, Abhimanyu Singh Rathore, Amna Rahman, Ayush Mishra, Yash Tangri:
IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI. CoRR abs/2408.06113 (2024) - 2023
- [c7]Hyung-Gun Chi
AdamsFormer for Spatial Action Localization in the Future. CVPR 2023: 17885-17895 - [c6]Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam:
Latency Matters: Real-Time Action Forecasting Transformer. CVPR 2023: 18759-18769 - [c5]Nakul Agarwal, Yi-Ting Chen:
Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding. ICCV 2023: 8590-8602 - [c4]Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush:
Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos. ICCV 2023: 10094-10104 - [i7]Qi Zhao, Ce Zhang, Shijie Wang, Changcheng Fu, Nakul Agarwal, Kwonjoon Lee, Chen Sun:
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? CoRR abs/2307.16368 (2023) - [i6]Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer:
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR abs/2309.06597 (2023) - [i5]Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun:
Object-centric Video Representation for Long-term Action Anticipation. CoRR abs/2311.00180 (2023) - [i4]Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun:
Vamos: Versatile Action Models for Video Understanding. CoRR abs/2311.13627 (2023) - 2022
- [c3]Reza Ghoddoosian, Isht Dwivedi
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos. CVPR 2022: 13770-13780 - [i3]Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Chiho Choi, Behzad Dariush:
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos. CoRR abs/2203.13309 (2022) - 2020
- [c2]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. BMVC 2020 - [i2]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. CoRR abs/2010.09211 (2020)
2010 – 2019
- 2018
- [j1]Nakul Agarwal, Vineeth N. Balasubramanian
Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Pattern Recognit. Lett. 112: 184-190 (2018) - [i1]A. H. Abdul Hafez, Nakul Agarwal, C. V. Jawahar:
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization. CoRR abs/1808.00208 (2018) - 2017
- [c1]Nakul Agarwal, Abhishek Sharma
Real-Time Traffic Light Signal Recognition System for a Self-driving Car. SIRS 2017: 276-284
Coauthor Index
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last updated on 2024-12-11 20:43 CET by the dblp team
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