Rohan Chandra - RankMe

103 papers A* 15A 5C 1Misc 2Journal 71Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Saad Abdul Ghani, Aniket Datar, Daeun Song, Peter Stone, Amna Mazen, Kamyab Yazdipaz, Innocent Mateyaunga, Mariam Faied, Mohan Krishnan, Yuanjie Lu, Tong Xu, Nicholas Mohammad, Woosung Kim, Jonathan Reasoner, Rohan Chandra, Nicola Bezzo
2026	J	`jnl`	Dynamic Control Barrier Function Regulation with Vision-Language Models for Safe, Adaptive, and Realtime Visual Navigation. CoRR Jeffrey Chen, Rohan Chandra
2026	A*	`conf`	Towards Agents That Exhibit Human-Like Autonomy in Complex Environments. AAAI Rohan Chandra
2025	J	`jnl`	A Survey of In-Context Reinforcement Learning. CoRR Amir Moeini, Jiuqi Wang, Jacob Beck, Ethan Blaser, Shimon Whiteson, Rohan Chandra, Shangtong Zhang
2025	J	`jnl`	Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving. CoRR Timur Anvar, Jeffrey Chen, Yuyan Wang, Rohan Chandra
2025	J	`jnl`	DR. Nav: Semantic-Geometric Representations for Proactive Dead-End Recovery and Navigation. CoRR Vignesh Rajagopal, Kasun Weerakoon Kulathun Mudiyanselage, Gershom Seneviratne, Pon Aswin Sankaralingam, Mohamed Elnoor, Jing Liang, Rohan Chandra, Dinesh Manocha
2025	J	`jnl`	Deadlock-free, safe, and decentralized multi-robot navigation in social mini-games via discrete-time control barrier functions. Auton. Robots Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Peter Stone, Joydeep Biswas
2025	A*	`conf`	Decentralized Safe and Scalable Multi-Agent Control Under Limited Actuation. ICRA Vrushabh Zinage, Abhishek Jha, Rohan Chandra, Efstathios Bakolas
2025	A*	`conf`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. AAAI Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025	J	`jnl`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. Annu. Rev. Control. Robotics Auton. Syst. Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025	—	`conf`	Efficient Realtime Traffic Routing for Heterogeneous Agents in Unregulated Intersections. MRS Nilesh Suriyarachchi, Arya Anantula, John S. Baras, Dinesh Manocha, Rohan Chandra
2025	J	`jnl`	Empowering Dynamic Urban Navigation with Stereo and Mid-Level Vision. CoRR Wentao Zhou, Xuweiyi Chen, Vignesh Rajagopal, Jeffrey Chen, Rohan Chandra, Zezhou Cheng
2025	J	`jnl`	Experience Replay Addresses Loss of Plasticity in Continual Learning. CoRR Jiuqi Wang, Rohan Chandra, Shangtong Zhang
2025	J	`jnl`	FACA: Fair and Agile Multi-Robot Collision Avoidance in Constrained Environments with Dynamic Priorities. CoRR Jaskirat Singh, Rohan Chandra
2025	J	`jnl`	Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features. CoRR Zixuan Xie, Xinyu Liu, Rohan Chandra, Shangtong Zhang
2025	—	`conf`	GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments. MRS Vagul Mahadevan, Shangtong Zhang, Rohan Chandra
2025	J	`jnl`	GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments. CoRR Vagul Mahadevan, Shangtong Zhang, Rohan Chandra
2025	J	`jnl`	Group Fairness in Multi-Task Reinforcement Learning. CoRR Kefan Song, Runnan Jiang, Rohan Chandra, Shangtong Zhang
2025	J	`jnl`	LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs. CoRR Jeffrey Chen, Rohan Chandra
2025	—	`conf`	LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments. L4DC Srikar Gouru, Siddharth Lakkoju, Rohan Chandra
2025	A	`conf`	Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds. IROS Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas
2025	J	`jnl`	Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms. CoRR Rohan Chandra, Shubham Singh, Abhishek Jha, Dannon Andrade, Hriday Sainathuni, Katia Sycara
2025	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. ACM Trans. Hum. Robot Interact. Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martín-Martín
2025	J	`jnl`	Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL. CoRR Aleesha Khurram, Amir Moeini, Shangtong Zhang, Rohan Chandra
2025	J	`jnl`	Reward Is Enough: LLMs Are In-Context Reinforcement Learners. CoRR Kefan Song, Amir Moeini, Peng Wang, Lei Gong, Rohan Chandra, Yanjun Qi, Shangtong Zhang
2025	J	`jnl`	Safe In-Context Reinforcement Learning. CoRR Amir Moeini, Minjae Kwon, Alper Kamil Bozkurt, Yuichi Motai, Rohan Chandra, Lu Feng, Shangtong Zhang
2025	J	`jnl`	Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models. CoRR Kefan Song, Jin Yao, Runnan Jiang, Rohan Chandra, Shangtong Zhang
2025	J	`jnl`	Towards Provable Emergence of In-Context Reinforcement Learning. CoRR Jiuqi Wang, Rohan Chandra, Shangtong Zhang
2024	J	`jnl`	DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. CoRR Xijun Wang, Pedro Sandoval Segura, Chengyuan Zhang, Junyun Huang, Tianrui Guan, Ruiqi Xian, Fuxiao Liu, Rohan Chandra, Boqing Gong, Dinesh Manocha
2024	J	`jnl`	Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation. CoRR Vrushabh Zinage, Abhishek Jha, Rohan Chandra, Efstathios Bakolas
2024	J	`jnl`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. CoRR Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2024	C	`conf`	Disturbance Observer-Based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree. ACC Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas
2024	J	`jnl`	GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control. CoRR Nilesh Suriyarachchi, Rohan Chandra, Arya Anantula, John S. Baras, Dinesh Manocha
2024	J	`jnl`	LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments. CoRR Srikar Gouru, Siddharth Lakkoju, Rohan Chandra
2024	A	`conf`	Predicting Acute Pain Levels Implicitly from Vocal Features. INTERSPEECH Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra, Arya Farahi
2024	A*	`conf`	Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds. ICRA Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
2024	A*	`conf`	SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces. AAAI Rohan Chandra, Zayne Sprague, Joydeep Biswas
2024	J	`jnl`	Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds. CoRR Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas
2024	J	`jnl`	Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios. CoRR Chirag Parikh, Ravi Shankar Mishra, Rohan Chandra, Ravi Kiran Sarvadevabhatla
2023	J	`jnl`	Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions. CoRR Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone
2023	J	`jnl`	Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization. CoRR Rohan Chandra, Rahul Menon, Zayne Sprague, Arya Anantula, Joydeep Biswas
2023	J	`jnl`	Disturbance Observer-based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree. CoRR Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas
2023	Misc	`conf`	Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRL Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha
2023	A*	`conf`	METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors. ICRA Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha
2023	J	`jnl`	Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints. CoRR Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas
2023	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
2023	J	`jnl`	SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces. CoRR Zayne Sprague, Rohan Chandra, Jarrett Holtz, Joydeep Biswas
2023	J	`jnl`	SocialMapf: Optimal and Efficient Multi-Agent Path Finding With Strategic Agents for Social Navigation. IEEE Robotics Autom. Lett. Rohan Chandra, Rahul Maligi, Arya Anantula, Joydeep Biswas
2023	J	`jnl`	Targeted Learning: A Hybrid Approach to Social Robot Navigation. CoRR Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
2023	J	`jnl`	iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRR Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving. IEEE Robotics Autom. Lett. Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha
2022	J	`jnl`	Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs. CoRR Trisha Mittal, Puneet Mathur, Rohan Chandra, Apurva Bhatt, Vikram Gupta, Debdoot Mukherjee, Aniket Bera, Dinesh Manocha
2022	J	`jnl`	GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments. IEEE Robotics Autom. Lett. Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Dinesh Manocha
2022	J	`jnl`	GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections. CoRR Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha
2022	—	`conf`	GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections. ITSC Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha
2022	A*	`conf`	Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. ICRA Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha
2022	J	`jnl`	Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. CoRR Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha
2022	J	`jnl`	GamePlan: Game-Theoretic Multi-Agent Planning With Human Drivers at Intersections, Roundabouts, and Merging. IEEE Robotics Autom. Lett. Rohan Chandra, Dinesh Manocha
2022	A	`conf`	M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. WACV Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
2022	J	`jnl`	SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation. CoRR Rohan Chandra, Rahul Maligi, Arya Anantula, Joydeep Biswas
2022	—	`—`	Towards Autonomous driving in Dense, Heterogeneous, and Unstructured Traffic. Rohan Chandra
2022	J	`jnl`	Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior. IEEE Trans. Intell. Transp. Syst. Rohan Chandra, Aniket Bera, Dinesh Manocha
2021	—	`conf`	BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments. ICCVW Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
2021	J	`jnl`	GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments. CoRR Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
2021	J	`jnl`	GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging. CoRR Rohan Chandra, Dinesh Manocha
2021	J	`jnl`	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. CoRR Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
2021	J	`jnl`	METEOR: A Massive Dense & Heterogeneous Behavior Dataset for Autonomous Driving. CoRR Rohan Chandra, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha
2021	—	`conf`	SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments. ICCVW Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
2021	J	`jnl`	Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior. CoRR Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation. CoRR Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha
2020	J	`jnl`	BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments. CoRR Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
2020	J	`jnl`	CMetric: A Driving Behavior Measure Using Centrality Functions. CoRR Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha
2020	A	`conf`	CMetric: A Driving Behavior Measure using Centrality Functions. IROS Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha
2020	A*	`conf`	DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors. ICRA Adarsh Jagan Sathyamoorthy, Jing Liang, Utsav Patel, Tianrui Guan, Rohan Chandra, Dinesh Manocha
2020	J	`jnl`	DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors. CoRR Adarsh Jagan Sathyamoorthy, Jing Liang, Utsav Patel, Tianrui Guan, Rohan Chandra, Dinesh Manocha
2020	A*	`conf`	EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle. CVPR Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle. CoRR Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues. CoRR Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	A*	`conf`	Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues. ACM Multimedia Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs. IEEE Robotics Autom. Lett. Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2020	A*	`conf`	GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. ICRA Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha
2020	A*	`conf`	M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues. AAAI Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	A*	`conf`	RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments. ICRA Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments. CoRR Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
2020	A*	`conf`	STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. AAAI Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
2020	J	`jnl`	StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories. CoRR Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	—	`conf`	Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. ECCV (10) Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha
2019	A	`conf`	DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features. IROS Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features. CoRR Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs. CoRR Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. CoRR Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues. CoRR Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments. CoRR Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
2019	—	`conf`	RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. CSCS Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. CoRR Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. CoRR Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
2019	J	`jnl`	Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. CoRR Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Aniket Bera, Dinesh Manocha
2019	A*	`conf`	TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. CVPR Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2018	J	`jnl`	TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. CoRR Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
2017	J	`jnl`	PhasePack User Guide. CoRR Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017	J	`jnl`	PhasePack: A Phase Retrieval Library. CoRR Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017	Misc	`conf`	PhasePack: A phase retrieval library. ACSSC Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017	J	`jnl`	Texture Synthesis with Recurrent Variational Auto-Encoder. CoRR Rohan Chandra, Sachin Grover, Kyungjun Lee, Moustafa Meshry, Ahmed Taha