News
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10 / 2022: Our paper on "Risk Perception in Driving Scenes" has been accepted at NeurIPS 2022 Workshop on Machine Learning for Autonomous Driving!.
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03 / 2022: Our paper on "Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos" has been accepted at CVPR 2022!.
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12 / 2021: I will be serving as a reviewer for CVPR 2022.
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07 / 2020: One paper on Unsupervised Domain Adaptation accepted in BMVC'20!
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03 / 2020: One paper accepted in CVPR'20 workshop!
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08 / 2018: Our paper on "Connecting Visual Experiences using Max-flow Network with Application to
Visual Localization" is out on arXiv!
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06 / 2018: Our paper on "Improving Multiclass Classification by Deep Networks using DAGSVM and Triplet Loss" has been accepted at Pattern Recognition Letters 2018!
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05 / 2018: Started my internship at Honda Research Institute, Mountain View
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08 / 2017: Started my M.S. at UC Merced
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ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
Reza Ghoddoosian, Nakul Agarwal, Isht Dwivedi, Behzad Dariush
WACV, 2025
project   paper
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Vamos: Versatile Action Models for Video Understanding
Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun
ECCV, 2024
project   paper
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M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
Seunggeun Chi*, Hyung-gun Chi*, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee
ECCV, 2024
project   paper
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Uncertainty-aware Action Decoupling Transformer for Action Anticipation
Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji
CVPR, 2024 (Highlight - Selection rate 2.8%)
project   paper
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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
project   paper
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AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Qi Zhao*, Ce Zhang*, Shijie Wang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun
(* equal contribution)
ICLR, 2024
project   paper
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Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel Kochenderfer
RA-L and ICRA, 2024
project   paper
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Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
Enna Sachdeva*, Nakul Agarwal*, Suhas Chundi, Jiachen Li, Mykel Kochenderfer, Chiho Choi, Behzad Dariush,
(* equal contribution)
WACV, 2024
project   paper
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Object-centric Video Representation for Long-term Action Anticipation
Ce Zhang*, Changcheng Fu*, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun
(* equal contribution)
WACV, 2024
project   paper
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Ordered Atomic Activity for Fine-Grained Interactive Traffic Scenario Understanding
Nakul Agarwal, Yi-Ting Chen
ICCV, 2023
project   paper
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Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush
ICCV, 2023
project   paper
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Latency Matters: Real-Time Action Forecasting Transformer
Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam
CVPR, 2023 (Highlight - Selection rate 2.6%)
project   paper
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AdamsFormer for Spatial Action Localization in the Future
Hyung-gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi
CVPR, 2023
project   paper
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Risk Perception in Driving Scenes
Nakul Agarwal, Yi-Ting Chen
Machine Learning for Autonomous Driving NeurIPS, 2022
project   paper
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Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Chiho Choi, Behzad Dariush
CVPR, 2022
project   paper
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Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang
BMVC, 2020
project   paper
Short Version: VL3 Workshop, CVPR, 2020
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SegRPN: Scale Aware Joint Object Detection and Semantic Segmentation
Nakul Agarwal, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang
Manuscript, 2019
paper
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Improving Multiclass Classification by Deep Networks using DAGSVM and Triplet Loss
Nakul Agarwal, Vineeth N. Balasubramaniam, C. V. Jawahar
Pattern Recognition Letters, 2018
paper   bibtex
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Connecting Visual Experiences using Max-flow Network with Application to Visual Localization
Nakul Agarwal*, A.H. Abdul Hafez*, C. V. Jawahar
(* equal contribution)
arXiv, 2018
paper   bibtex
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Exploring Action Recognition without using Deep Learning
Nakul Agarwal, 2019
report
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Content Based Image Retrieval
Nakul Agarwal, 2018
report
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Simultaneous Localization and Mapping using Extended Kalmann Filter
Nakul Agarwal, Aditya Ranganath, 2017
report
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Software Engineering (CSE 120), UC Merced
Teaching Assistant (TA) with Chi Yan Leung
Fall 2017
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Computer Architecture (CSE 140), UC Merced
Teaching Assistant (TA) with Chi Yan Leung
Spring 2018
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Intro to Digital Image Processing (CSE 107), UC Merced
Teaching Assistant (TA) with Shawn Newsam
Fall 2018
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