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ORCIDDinesh Manocha
Person information
- affiliation: University of Maryland at College Park, MD, USA
- affiliation (former): University of North Carolina at Chapel Hill, NC, USA
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2020 – today
- 2023
[j237]Zherong Pan
, Min Liu, Xifeng Gao, Dinesh Manocha:
Joint search of optimal topology and trajectory for planar linkages. Int. J. Robotics Res. 42(4-5): 176-195 (2023)- [j236]Jing Liang, Kasun Weerakoon, Tianrui Guan, Nare Karapetyan, Dinesh Manocha:
AdaptiveON: Adaptive Outdoor Local Navigation Method for Stable and Reliable Actions. IEEE Robotics Autom. Lett. 8(2): 648-655 (2023) - [j235]Vrushabh Zinage, Senthil Hariharan Arul, Dinesh Manocha, Satadal Ghosh:
3D-Online Generalized Sensed Shape Expansion: A Probabilistically Complete Motion Planner in Obstacle-Cluttered Unknown Environments. IEEE Robotics Autom. Lett. 8(6): 3334-3341 (2023) - [j234]James F. Mullen Jr., Dinesh Manocha:
PACE: Data-Driven Virtual Agent Interaction in Dense and Cluttered Environments. IEEE Trans. Vis. Comput. Graph. 29(5): 2536-2546 (2023) - [c415]Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. AAAI 2023: 1914-1922 - [c414]Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI 2023: 6980-6988 - [c413]Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S, Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. ACL (1) 2023: 104-125 - [c412]Jaehoon Choi, Dongki Jung, Taejae Lee, Sangwook Kim, Youngdong Jung, Dinesh Manocha, Donghwan Lee:
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering. CVPR 2023: 16674-16684 - [c411]Ashish Seth, Sreyan Ghosh, Srinivasan Umesh, Dinesh Manocha:
Unfused: Unsupervised Finetuning Using Self Supervised Distillation. ICASSP Workshops 2023: 1-5 - [c410]Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML 2023: 3949-3978 - [c409]Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. ICML 2023: 33240-33267 - [c408]Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha:
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. ICRA 2023: 989-995 - [c407]Xijun Wang, Ruiqi Xian, Tianrui Guan, Celso M. de Melo, Stephen M. Nogar, Aniket Bera, Dinesh Manocha:
AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning. ICRA 2023: 1312-1318 - [c406]Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha:
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. ICRA 2023: 1393-1399 - [c405]Liang He, Zherong Pan, Dinesh Manocha:
Real-Time Decentralized Navigation of Nonholonomic Agents Using Shifted Yielding Areas. ICRA 2023: 3656-3662 - [c404]Divya Kothandaraman, Ming Lin, Dinesh Manocha:
DifFAR: Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition. ICRA 2023: 8254-8261 - [c403]Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha:
METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors. ICRA 2023: 9169-9175 - [c402]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. ICRA 2023: 11374-11381 - [c401]Ruichen Wang, Dinesh Manocha:
Dynamic EM Ray Tracing for Large Urban Scenes with Multiple Receivers. IWCMC 2023: 1268-1274 - [c400]Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. SIGIR 2023: 1853-1858 - [c399]James F. Mullen Jr., Divya Kothandaraman, Aniket Bera, Dinesh Manocha:
Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes. WACV 2023: 300-310 - [c398]Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha:
SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection. WACV 2023: 382-391 - [c397]Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse, Dinesh Manocha:
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. WACV (Workshops) 2023: 643-652 - [c396]Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu:
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV 2023: 3599-3609 - [i245]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR abs/2301.12038 (2023) - [i244]Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. CoRR abs/2301.12083 (2023) - [i243]Anton Jeran Ratnarajah, Dinesh Manocha:
Scene2BIR: Material-aware learning-based binaural impulse response generator for reconstructed real-world 3D scenes. CoRR abs/2302.02809 (2023) - [i242]Jing Liang, Sanghyun Son, Ming Lin, Dinesh Manocha:
GeoLCR: Attention-based Geometric Loop Closure and Registration. CoRR abs/2302.13509 (2023) - [i241]Xijun Wang, Ruiqi Xian, Tianrui Guan, Celso M. de Melo, Stephen M. Nogar, Aniket Bera, Dinesh Manocha:
AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning. CoRR abs/2303.01589 (2023) - [i240]Ruiqi Xian, Xijun Wang, Dinesh Manocha:
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition. CoRR abs/2303.02575 (2023) - [i239]Sreyan Ghosh, Manan Suri, Purva Chiniya, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network. CoRR abs/2303.03387 (2023) - [i238]Vishnu Sashank Dorbala, James F. Mullen Jr., Dinesh Manocha:
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot Object Navigation. CoRR abs/2303.03480 (2023) - [i237]Ashish Seth, Sreyan Ghosh, S. Umesh, Dinesh Manocha:
UNFUSED: UNsupervised Finetuning Using SElf supervised Distillation. CoRR abs/2303.05668 (2023) - [i236]Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha:
RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. CoRR abs/2303.07622 (2023) - [i235]Liang He, Zherong Pan, Dinesh Manocha:
Real-Time Decentralized Navigation of Nonholonomic Agents Using Shifted Yielding Areas. CoRR abs/2303.09139 (2023) - [i234]Senthil Hariharan Arul, Jong Jin Park, Dinesh Manocha:
DS-MPEPC: Safe and Deadlock-Avoiding Robot Navigation in Cluttered Dynamic Scenes. CoRR abs/2303.10133 (2023) - [i233]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. CoRR abs/2303.10280 (2023) - [i232]Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha:
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models. CoRR abs/2303.11444 (2023) - [i231]James F. Mullen Jr., Dinesh Manocha:
PACE: Data-Driven Virtual Agent Interaction in Dense and Cluttered Environments. CoRR abs/2303.14255 (2023) - [i230]Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Tianrui Guan, Mason Russell, Damon Conover, Jason L. Pusey, Dinesh Manocha:
VERN: Vegetation-aware Robot Navigation in Dense Unstructured Outdoor Environments. CoRR abs/2303.14502 (2023) - [i229]Jaehoon Choi, Dongki Jung, Taejae Lee, Sangwook Kim, Youngdong Jung, Dinesh Manocha, Donghwan Lee:
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering. CoRR abs/2303.15060 (2023) - [i228]Tianrui Guan, Aswath Muthuselvam, Montana Hoover, Xijun Wang, Jing Liang, Adarsh Jagan Sathyamoorthy, Damon Conover, Dinesh Manocha:
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition. CoRR abs/2303.17778 (2023) - [i227]Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
On the Possibilities of AI-Generated Text Detection. CoRR abs/2304.04736 (2023) - [i226]Ruiqi Xian, Xijun Wang, Divya Kothandaraman, Dinesh Manocha:
PMI Sampler: Patch similarity guided frame selection for Aerial Action Recognition. CoRR abs/2304.06866 (2023) - [i225]Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. CoRR abs/2305.10647 (2023) - [i224]Xijun Wang, Ruiqi Xian, Tianrui Guan, Dinesh Manocha:
Prompt Learning for Action Recognition. CoRR abs/2305.12437 (2023) - [i223]Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S, Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. CoRR abs/2306.00928 (2023) - [i222]Chunxiao Cao, Zili An, Zhong Ren, Dinesh Manocha, Kun Zhou:
BEDRF: Bidirectional Edge Diffraction Response Function for Interactive Sound Propagation. CoRR abs/2306.01974 (2023) - [i221]Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha:
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. CoRR abs/2306.06192 (2023) - [i220]Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha:
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRR abs/2306.06236 (2023) - [i219]Jiangbei Yue, Dinesh Manocha, He Wang:
Human Trajectory Forecasting with Explainable Behavioral Uncertainty. CoRR abs/2307.01817 (2023) - [i218]Mohamed Elnoor, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Dinesh Manocha:
ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments. CoRR abs/2307.09754 (2023) - [i217]Cong Wang, Yu-Ping Wang, Dinesh Manocha:
LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference. CoRR abs/2307.12217 (2023) - [i216]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang:
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR abs/2308.02585 (2023) - [i215]Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Sakshi Singh, Sanjoy Chowdhury, Dinesh Manocha:
ASPIRE: Language-Guided Augmentation for Robust Image Classification. CoRR abs/2308.10103 (2023) - [i214]Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha:
AdVerb: Visually Guided Audio Dereverberation. CoRR abs/2308.12370 (2023) - [i213]Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Dinesh Manocha:
Using Lidar Intensity for Robot Navigation. CoRR abs/2309.07014 (2023) - [i212]Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha:
VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning. CoRR abs/2309.07832 (2023) - [i211]Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming C. Lin, Dinesh Manocha:
MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation. CoRR abs/2309.08214 (2023) - [i210]Biao Jia, Dinesh Manocha:
Sim-to-Real Brush Manipulation using Behavior Cloning and Reinforcement Learning. CoRR abs/2309.08457 (2023) - [i209]Sreyan Ghosh, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramani Duraiswami, Dinesh Manocha:
RECAP: Retrieval-Augmented Audio Captioning. CoRR abs/2309.09836 (2023) - 2022
- [j233]Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha:
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks. Comput. Graph. Forum 41(2): 547-558 (2022) - [j232]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [j231]Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang:
An Intelligent Self-Driving Truck System for Highway Transportation. Frontiers Neurorobotics 16: 843026 (2022) - [j230]Xiao-Rui Chen, Min Tang, Cheng Li, Dinesh Manocha, Ruofeng Tong:
BADF: Bounding Volume Hierarchies Centric Adaptive Distance Field Computation for Deformable Objects on GPUs. J. Comput. Sci. Technol. 37(3): 731-740 (2022) - [j229]Adarsh Jagan Sathyamoorthy, Utsav Patel, Moumita Paul, Nithish K. Sanjeev Kumar, Yash Ajay Savle, Dinesh Manocha:
CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes. IEEE Robotics Autom. Lett. 7(2): 1008-1015 (2022) - [j228]Rohan Chandra, Dinesh Manocha:
GamePlan: Game-Theoretic Multi-Agent Planning With Human Drivers at Intersections, Roundabouts, and Merging. IEEE Robotics Autom. Lett. 7(2): 2676-2683 (2022) - [j227]Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha:
B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 4718-4725 (2022) - [j226]Qiaoyun Wu, Jun Wang, Jing Liang, Xiaoxi Gong, Dinesh Manocha:
Image-Goal Navigation in Complex Environments via Modular Learning. IEEE Robotics Autom. Lett. 7(3): 6902-6909 (2022) - [j225]Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Dinesh Manocha:
GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments. IEEE Robotics Autom. Lett. 7(3): 8138-8145 (2022) - [j224]Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, Mingliang Xu:
ACSEE: Antagonistic Crowd Simulation Model With Emotional Contagion and Evolutionary Game Theory. IEEE Trans. Affect. Comput. 13(2): 729-745 (2022) - [j223]Bharath Gopalakrishnan, Arun Kumar Singh, K. Madhava Krishna, Dinesh Manocha:
Solving Chance-Constrained Optimization Under Nonparametric Uncertainty Through Hilbert Space Embedding. IEEE Trans. Control. Syst. Technol. 30(3): 901-916 (2022) - [j222]Rohan Chandra, Aniket Bera, Dinesh Manocha:
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior. IEEE Trans. Intell. Transp. Syst. 23(3): 2572-2585 (2022) - [j221]Xutong Jin, Sheng Li, Guoping Wang, Dinesh Manocha:
NeuralSound: learning-based modal sound synthesis with acoustic transfer. ACM Trans. Graph. 41(4): 121:1-121:15 (2022) - [j220]Sheng Li, Xiang Gu, Kangrui Yi, Yanlin Yang, Guoping Wang, Dinesh Manocha:
Self-Illusion: A Study on Cognition of Role-Playing in Immersive Virtual Environments. IEEE Trans. Vis. Comput. Graph. 28(8): 3035-3049 (2022) - [c395]Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha:
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRL 2022: 1629-1639 - [c394]Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma:
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes. CVPR 2022: 19576-19585 - [c393]Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha:
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos. CVPR 2022: 21032-21043 - [c392]Jiangbei Yue, Dinesh Manocha, He Wang:
Human Trajectory Prediction via Neural Social Physics. ECCV (34) 2022: 376-394 - [c391]Qingyang Tan, Yi Zhou, Tuanfeng Y. Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha:
A Repulsive Force Unit for Garment Collision Handling in Neural Networks. ECCV (3) 2022: 451-467 - [c390]Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha:
D2-TPred: Discontinuous Dependency for Trajectory Prediction Under Traffic Lights. ECCV (8) 2022: 522-539 - [c389]Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming C. Lin, Dinesh Manocha:
FAR: Fourier Aerial Video Recognition. ECCV (37) 2022: 657-676 - [c388]Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh:
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP 2022: 809-824 - [c387]Puneet Mathur, Mihir Goyal, Ramit Sawhney, Ritik Mathur, Jochen L. Leidner, Franck Dernoncourt, Dinesh Manocha:
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents. EMNLP (Findings) 2022: 1933-1940 - [c386]Anton Ratnarajah, Shi-Xiong Zhang, Meng Yu, Zhenyu Tang, Dinesh Manocha, Dong Yu:
Fast-Rir: Fast Neural Diffuse Room Impulse Response Generator. ICASSP 2022: 571-575 - [c385]Qingyang Tan, Zherong Pan, Breannan Smith, Takaaki Shiratori, Dinesh Manocha:
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations. ICML 2022: 21037-21049 - [c384]Cong Wang, Yu-Ping Wang, Dinesh Manocha:
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints. ICRA 2022: 1265-1272 - [c383]Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha:
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. ICRA 2022: 2876-2883 - [c382]Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee:
SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning. ICRA 2022: 6511-6518 - [c381]Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Utsav Patel, Dinesh Manocha:
TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning. ICRA 2022: 9447-9453 - [c380]Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha:
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH 2022: 451-455 - [c379]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [c378]Yu-Ping Wang, Hao-Ning Wang, Zi-Xin Zou, Dinesh Manocha:
AFR: An Efficient Buffering Algorithm for Cloud Robotic Systems. IROS 2022: 6032-6039 - [c377]Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Tianrui Guan, Jing Liang, Dinesh Manocha:
TerraPN: Unstructured Terrain Navigation using Online Self-Supervised Learning. IROS 2022: 7197-7204 - [c376]Senthil Hariharan Arul, Dinesh Manocha:
CGLR: Dense Multi-Agent Navigation Using Voronoi Cells and Congestion Metric-based Replanning. IROS 2022: 7213-7220 - [c375]Liang He, Zherong Pan, Kiril Solovey, Biao Jia, Dinesh Manocha:
Multi-Robot Path Planning Using Medial-Axis-Based Pebble-Graph Embedding. IROS 2022: 9987-9994 - [c374]Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha:
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. IROS 2022: 11711-11718 - [c373]Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, Aniket Bera, Dinesh Manocha:
Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. ISM 2022: 169-172 - [c372]Geonsun Lee, Jennifer Healey, Dinesh Manocha:
VRDoc: Gaze-based Interactions for VR Reading Experience. ISMAR 2022: 787-796 - [c371]Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha:
GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections. ITSC 2022: 2599-2606 - [c370]Tanmay Randhavane, Uttaran Bhattacharya, Pooja Kabra, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha, Aniket Bera:
Learning Gait Emotions Using Affective and Deep Features. MIG 2022: 5:1-5:10 - [c369]Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha:
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention. ACM Multimedia 2022: 591-600 - [c368]Anton Ratnarajah, Zhenyu Tang, Rohith Aralikatti, Dinesh Manocha:
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes. ACM Multimedia 2022: 924-933 - [c367]Puneet Mathur, Atula Tejaswi Neerkaje, Malika Chhibber, Ramit Sawhney, Fuming Guo, Franck Dernoncourt, Sanghamitra Dutta, Dinesh Manocha:
MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues. ACM Multimedia 2022: 2276-2285 - [c366]Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain:
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT 2022: 993-1009 - [c365]Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram:
Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models. Odyssey 2022: 407-414 - [c364]Tianrui Guan, Zhenpeng He, Ruitao Song, Dinesh Manocha, Liangjun Zhang:
TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators. Robotics: Science and Systems 2022 - [c363]Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha:
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks. SIGGRAPH (Conference Paper Track) 2022: 11:1-11:10 - [c362]Zhenyu Tang, Rohith Aralikatti, Anton Jeran Ratnarajah, Dinesh Manocha:
GWA: A Large High-Quality Acoustic Dataset for Audio Processing. SIGGRAPH (Conference Paper Track) 2022: 36:1-36:9 - [c361]