Real-Time Traffic Light Signal Recognition System for a Self-driving Car. - Nakul Agarwal; Abhishek Sharma; Jieh-Ren Chang (SIRS, 2017)

Connecting Visual Experiences using Max-flow Network with Application to Visual Localization. - A. H. Abdul Hafez; Nakul Agarwal; C. V. Jawahar (CoRR, 2018)

Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. - Nakul Agarwal; Vineeth N. Balasubramanian; C. V. Jawahar (Pattern Recognit. Lett., 2018)

Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. - Nakul Agarwal; Yi-Ting Chen 001; Behzad Dariush; Ming-Hsuan Yang 001 (BMVC, 2020)

Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos. - Reza Ghoddoosian; Isht Dwivedi; Nakul Agarwal; Chiho Choi; Behzad Dariush (CVPR, 2022)

AdamsFormer for Spatial Action Localization in the Future. - Hyung-Gun Chi; Kwonjoon Lee; Nakul Agarwal; Yi Xu 005; Karthik Ramani; Chiho Choi (CVPR, 2023)

Latency Matters: Real-Time Action Forecasting Transformer. - Harshayu Girase; Nakul Agarwal; Chiho Choi; Karttikeya Mangalam (CVPR, 2023)

Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding. - Nakul Agarwal; Yi-Ting Chen 001 (ICCV, 2023)

Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos. - Reza Ghoddoosian; Isht Dwivedi; Nakul Agarwal; Behzad Dariush (ICCV, 2023)

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? - Qi Zhao; Ce Zhang 010; Shijie Wang; Changcheng Fu; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (CoRR, 2023)

Uncertainty-aware Action Decoupling Transformer for Action Anticipation. - Hongji Guo; Nakul Agarwal; Shao-Yuan Lo; Kwonjoon Lee; Qiang Ji (CVPR, 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 (CVPR, 2024)

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models. - Seung-geun Chi; Hyung-Gun Chi; Hengbo Ma; Nakul Agarwal; Faizan Siddiqui 001; Karthik Ramani; Kwonjoon Lee (ECCV (14), 2024)

Vamos: Versatile Action Models for Video Understanding. - Shijie Wang; Qi Zhao; Minh Quan Do; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (ECCV (12), 2024)

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? - Qi Zhao; Shijie Wang; Ce Zhang 010; Changcheng Fu; Minh Quan Do; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (ICLR, 2024)

Multi-Objective Recommendation via Multivariate Policy Learning. - Olivier Jeunen; Jatin Mandav; Ivan Potapov; Nakul Agarwal; Sourabh Vaid; Wenzhe Shi; Aleksei Ustimenko (RecSys, 2024)

Object-centric Video Representation for Long-term Action Anticipation. - Ce Zhang 010; Changcheng Fu; Shijie Wang; Nakul Agarwal; Kwonjoon Lee; Chiho Choi; Chen Sun 002 (WACV, 2024)

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. - Enna Sachdeva; Nakul Agarwal; Suhas Chundi; Sean Roelofs; Jiachen Li 001; Mykel J. Kochenderfer; Chiho Choi; Behzad Dariush (WACV, 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; et al. (CoRR, 2024)

Disentangled Neural Relational Inference for Interpretable Motion Prediction. - Victoria Magdalena Dax; Jiachen Li 001; Enna Sachdeva; Nakul Agarwal; Mykel J. Kochenderfer (IEEE Robotics Autom. Lett., 2024)

Pose-Aware Weakly-Supervised Action Segmentation. - Zhihao Zhao; Reza Ghoddoosian; Isht Dwivedi; Nakul Agarwal; Behzad Dariush (CVPR Workshops, 2025)

ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos. - Reza Ghoddoosian; Nakul Agarwal; Isht Dwivedi; Behzad Darisuh (WACV, 2025)

Pose-Aware Weakly-Supervised Action Segmentation. - Seth Z. Zhao; Reza Ghoddoosian; Isht Dwivedi; Nakul Agarwal; Behzad Dariush (CoRR, 2025)

Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. - Chunhui Zhang; Zhongyu Ouyang; Kwonjoon Lee; Nakul Agarwal; Sean Dae Houlihan; Soroush Vosoughi; Shao-Yuan Lo (CoRR, 2025)

CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition. - Joerg Deigmoeller; Stephan Hasler; Nakul Agarwal; Daniel Tanneberg; Anna Belardinelli; Reza Ghoddoosian; Chao Wang 055; Felix Ocker; Fan Zhang; Behzad Dariush; Michael Gienger (CoRR, 2025)