News
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[NEW] 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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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
Preprint, 2023
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
arXiv, 2018
* equal contribution
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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