Nakul Agarwal

According to our database, Nakul Agarwal authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disentangled Neural Relational Inference for Interpretable Motion Prediction.

Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer

IEEE Robotics Autom. Lett., February, 2024

IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI.

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

CoRR, 2024

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models.

Seung-geun Chi, Hyung-Gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee

CoRR, 2024

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning.

Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Object-centric Video Representation for Long-term Action Anticipation.

Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-Objective Recommendation via Multivariate Policy Learning.

Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models.

Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Uncertainty-aware Action Decoupling Transformer for Action Anticipation.

Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Vamos: Versatile Action Models for Video Understanding.

Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun

CoRR, 2023

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

Qi Zhao, Ce Zhang, Shijie Wang, Changcheng Fu, Nakul Agarwal, Kwonjoon Lee, Chen Sun

CoRR, 2023

Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos.

Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding.

Nakul Agarwal, Yi-Ting Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Latency Matters: Real-Time Action Forecasting Transformer.

Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdamsFormer for Spatial Action Localization in the Future.

Hyung-Gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos.

Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Chiho Choi, Behzad Dariush

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Unsupervised Domain Adaptation for Spatio-Temporal Action Localization.

Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

Improving multiclass classification by deep networks using DAGSVM and Triplet Loss.

Nakul Agarwal, Vineeth N. Balasubramanian, C. V. Jawahar

Pattern Recognit. Lett., 2018

Connecting Visual Experiences using Max-flow Network with Application to Visual Localization.

A. H. Abdul Hafez, Nakul Agarwal, C. V. Jawahar

CoRR, 2018

2017

Real-Time Traffic Light Signal Recognition System for a Self-driving Car.

Nakul Agarwal, Abhishek Sharma, Jieh-Ren Chang

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017