PhasePack: A phase retrieval library. - Rohan Chandra; Ziyuan Zhong; Justin Hontz; Val McCulloch; Christoph Studer; Tom Goldstein (ACSSC, 2017)

PhasePack User Guide. - Rohan Chandra; Ziyuan Zhong; Justin Hontz; Val McCulloch; Christoph Studer; Tom Goldstein (CoRR, 2017)

Texture Synthesis with Recurrent Variational Auto-Encoder. - Rohan Chandra; Sachin Grover; Kyungjun Lee 001; Moustafa Meshry; Ahmed Taha 001 (CoRR, 2017)

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. - Rohan Chandra; Uttaran Bhattacharya; Christian Roncal; Aniket Bera; Dinesh Manocha (CSCS, 2019)

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. - Rohan Chandra; Uttaran Bhattacharya; Aniket Bera; Dinesh Manocha (CVPR, 2019)

DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features. - Rohan Chandra; Uttaran Bhattacharya; Aniket Bera; Dinesh Manocha (IROS, 2019)

RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments. - Rohan Chandra; Uttaran Bhattacharya; Tanmay Randhavane; Aniket Bera; Dinesh Manocha (CoRR, 2019)

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. - Uttaran Bhattacharya; Christian Roncal; Trisha Mittal; Rohan Chandra; Aniket Bera; Dinesh Manocha (CoRR, 2019)

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. - Uttaran Bhattacharya; Trisha Mittal; Rohan Chandra; Tanmay Randhavane; Aniket Bera; Dinesh Manocha (AAAI, 2020)

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues. - Trisha Mittal; Uttaran Bhattacharya; Rohan Chandra; Aniket Bera; Dinesh Manocha (AAAI, 2020)

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle. - Trisha Mittal; Pooja Guhan; Uttaran Bhattacharya; Rohan Chandra; Aniket Bera; Dinesh Manocha (CVPR, 2020)

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. - Uttaran Bhattacharya; Christian Roncal; Trisha Mittal; Rohan Chandra; Kyra Kapsaskis; Kurt Gray; Aniket Bera; Dinesh Manocha (ECCV (10), 2020)

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. - Rohan Chandra; Uttaran Bhattacharya; Trisha Mittal; Xiaoyu Li; Aniket Bera; Dinesh Manocha (ICRA, 2020)

RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments. - Rohan Chandra; Uttaran Bhattacharya; Tanmay Randhavane; Aniket Bera; Dinesh Manocha (ICRA, 2020)

DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors. - Adarsh Jagan Sathyamoorthy; Jing Liang 006; Utsav Patel; Tianrui Guan; Rohan Chandra; Dinesh Manocha (ICRA, 2020)

CMetric: A Driving Behavior Measure using Centrality Functions. - Rohan Chandra; Uttaran Bhattacharya; Trisha Mittal; Aniket Bera; Dinesh Manocha (IROS, 2020)

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues. - Trisha Mittal; Uttaran Bhattacharya; Rohan Chandra; Aniket Bera; Dinesh Manocha (ACM Multimedia, 2020)

Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues. - Trisha Mittal; Uttaran Bhattacharya; Rohan Chandra; Aniket Bera; Dinesh Manocha (CoRR, 2020)

BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments. - Divya Kothandaraman; Rohan Chandra; Dinesh Manocha (CoRR, 2020)

B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation. - Angelos Mavrogiannis; Rohan Chandra; Dinesh Manocha (CoRR, 2020)

StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories. - Rohan Chandra; Aniket Bera; Dinesh Manocha (CoRR, 2020)

SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments. - Divya Kothandaraman; Rohan Chandra; Dinesh Manocha (CoRR, 2020)

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs. - Rohan Chandra; Tianrui Guan; Srujan Panuganti; Trisha Mittal; Uttaran Bhattacharya; Aniket Bera; Dinesh Manocha (IEEE Robotics Autom. Lett., 2020)

SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments. - Divya Kothandaraman; Rohan Chandra; Dinesh Manocha (ICCVW, 2021)

BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments. - Divya Kothandaraman; Rohan Chandra; Dinesh Manocha (ICCVW, 2021)

GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments. - Tianrui Guan; Divya Kothandaraman; Rohan Chandra; Dinesh Manocha (CoRR, 2021)

METEOR: A Massive Dense & Heterogeneous Behavior Dataset for Autonomous Driving. - Rohan Chandra; Mridul Mahajan; Rahul Kala; Rishitha Palugulla; Chandrababu Naidu; Alok Jain; Dinesh Manocha (CoRR, 2021)

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. - Rohan Chandra; Mingyu Wang 002; Mac Schwager; Dinesh Manocha (ICRA, 2022)

GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections. - Nilesh Suriyarachchi; Rohan Chandra; John S. Baras; Dinesh Manocha (ITSC, 2022)

M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. - Tianrui Guan; Jun Wang 090; Shiyi Lan; Rohan Chandra; Zuxuan Wu; Larry Davis 001; Dinesh Manocha (WACV, 2022)

GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections. - Nilesh Suriyarachchi; Rohan Chandra; John S. Baras; Dinesh Manocha (CoRR, 2022)

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs. - Trisha Mittal; Puneet Mathur; Rohan Chandra; Apurva Bhatt; Vikram Gupta; Debdoot Mukherjee; Aniket Bera; Dinesh Manocha (CoRR, 2022)

GamePlan: Game-Theoretic Multi-Agent Planning With Human Drivers at Intersections, Roundabouts, and Merging. - Rohan Chandra; Dinesh Manocha (IEEE Robotics Autom. Lett., 2022)

GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments. - Tianrui Guan; Divya Kothandaraman; Rohan Chandra; Adarsh Jagan Sathyamoorthy; Kasun Weerakoon; Dinesh Manocha (IEEE Robotics Autom. Lett., 2022)

B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving. - Angelos Mavrogiannis; Rohan Chandra; Dinesh Manocha (IEEE Robotics Autom. Lett., 2022)

Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior. - Rohan Chandra; Aniket Bera; Dinesh Manocha (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Autonomous driving in Dense, Heterogeneous, and Unstructured Traffic. - Rohan Chandra (2022)

Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. - Xiyang Wu; Rohan Chandra; Tianrui Guan; Amrit S. Bedi; Dinesh Manocha (CoRL, 2023)

METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors. - Rohan Chandra; Xijun Wang 002; Mridul Mahajan; Rahul Kala; Rishitha Palugulla; Chandrababu Naidu; Alok Jain; Dinesh Manocha (ICRA, 2023)

SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces. - Zayne Sprague; Rohan Chandra; Jarrett Holtz; Joydeep Biswas (CoRR, 2023)

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. - Xiyang Wu; Rohan Chandra; Tianrui Guan; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization. - Rohan Chandra; Rahul Menon; Zayne Sprague; Arya Anantula; Joydeep Biswas (CoRR, 2023)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 001; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (CoRR, 2023)

Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions. - Rohan Chandra; Vrushabh Zinage; Efstathios Bakolas; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Targeted Learning: A Hybrid Approach to Social Robot Navigation. - Amir Hossain Raj; Zichao Hu; Haresh Karnan; Rohan Chandra; Amirreza Payandeh; Luisa Mao; Peter Stone 001; Joydeep Biswas; Xuesu Xiao (CoRR, 2023)

Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints. - Vrushabh Zinage; Rohan Chandra; Efstathios Bakolas (CoRR, 2023)

SocialMapf: Optimal and Efficient Multi-Agent Path Finding With Strategic Agents for Social Navigation. - Rohan Chandra; Rahul Maligi; Arya Anantula; Joydeep Biswas (IEEE Robotics Autom. Lett., 2023)

SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces. - Rohan Chandra; Zayne Sprague; Joydeep Biswas (AAAI, 2024)

Disturbance Observer-Based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree. - Vrushabh Zinage; Rohan Chandra; Efstathios Bakolas (ACC, 2024)

Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds. - Amir Hossain Raj; Zichao Hu; Haresh Karnan; Rohan Chandra; Amirreza Payandeh; Luisa Mao; Peter Stone 001; Joydeep Biswas; Xuesu Xiao (ICRA, 2024)

Predicting Acute Pain Levels Implicitly from Vocal Features. - Jennifer Williams 001; Eike Schneiders; Henry Card; Tina Seabrooke; Beatrice Pakenham-Walsh; Tayyaba Azim; Lucy Valls-Reed; Ganesh Vigneswaran; John Robert Bautista; Rohan Chandra; Arya Farahi (INTERSPEECH, 2024)

Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios. - Chirag Parikh; Ravi Shankar Mishra; Rohan Chandra; Ravi Kiran Sarvadevabhatla (CoRR, 2024)

GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control. - Nilesh Suriyarachchi; Rohan Chandra; Arya Anantula; John S. Baras; Dinesh Manocha (CoRR, 2024)

Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds. - Rohan Chandra; Haresh Karnan; Negar Mehr; Peter Stone 001; Joydeep Biswas (CoRR, 2024)

Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation. - Vrushabh Zinage; Abhishek Jha; Rohan Chandra; Efstathios Bakolas (CoRR, 2024)

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. - Xijun Wang 002; Pedro Sandoval Segura; Chengyuan Zhang; Junyun Huang; Tianrui Guan; Ruiqi Xian; Fuxiao Liu; Rohan Chandra; Boqing Gong; Dinesh Manocha (CoRR, 2024)

LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments. - Srikar Gouru; Siddharth Lakkoju; Rohan Chandra (L4DC, 2025)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. - Chen Tang 001; Ben Abbatematteo; Jiaheng Hu; Rohan Chandra; Roberto Martín-Martín; Peter Stone 001 (Annu. Rev. Control. Robotics Auton. Syst., 2025)

A Survey of In-Context Reinforcement Learning. - Amir Moeini; Jiuqi Wang; Jacob Beck; Ethan Blaser; Shimon Whiteson; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models. - Kefan Song; Jin Yao; Runnan Jiang; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

Group Fairness in Multi-Task Reinforcement Learning. - Kefan Song; Runnan Jiang; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments. - Vagul Mahadevan; Shangtong Zhang; Rohan Chandra (CoRR, 2025)

LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs. - Jeffrey Chen; Rohan Chandra (CoRR, 2025)

Experience Replay Addresses Loss of Plasticity in Continual Learning. - Jiuqi Wang; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features. - Zixuan Xie; Xinyu Liu; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

Deadlock-free, safe, and decentralized multi-robot navigation in social mini-games via discrete-time control barrier functions. - Rohan Chandra; Vrushabh Zinage; Efstathios Bakolas; Peter Stone 001; Joydeep Biswas (Auton. Robots, 2025)

Reward Is Enough: LLMs Are In-Context Reinforcement Learners. - Kefan Song; Amir Moeini; Peng Wang; Lei Gong; Rohan Chandra; Yanjun Qi; Shangtong Zhang (CoRR, 2025)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 002; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (ACM Trans. Hum. Robot Interact., 2025)