Semantically guided location recognition for outdoors scenes. - Arsalan Mousavian; Jana Kosecka; Jyh-Ming Lien (ICRA, 2015)

Deep Convolutional Features for Image Based Retrieval and Scene Categorization. - Arsalan Mousavian; Jana Kosecka (CoRR, 2015)

Multiview RGB-D Dataset for Object Instance Detection. - Georgios Georgakis; Md. Alimoor Reza; Arsalan Mousavian; Phi-Hung Le; Jana Kosecka (3DV, 2016)

Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. - Arsalan Mousavian; Hamed Pirsiavash; Jana Kosecka (3DV, 2016)

Semantic Image Based Geolocation Given a Map. - Arsalan Mousavian; Jana Kosecka (CoRR, 2016)

3D Bounding Box Estimation Using Deep Learning and Geometry. - Arsalan Mousavian; Dragomir Anguelov; John Flynn; Jana Kosecka (CVPR, 2017)

Synthesizing Training Data for Object Detection in Indoor Scenes. - Georgios Georgakis; Arsalan Mousavian; Alexander C. Berg; Jana Kosecka (Robotics: Science and Systems, 2017)

Visual Representations for Semantic Target Driven Navigation. - Arsalan Mousavian; Alexander Toshev; Marek Fiser; Jana Kosecka; James Davidson (CoRR, 2018)

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. - Christopher Xie; Yu Xiang 001; Arsalan Mousavian; Dieter Fox (CoRL, 2019)

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. - Arsalan Mousavian; Clemens Eppner; Dieter Fox (ICCV, 2019)

Visual Representations for Semantic Target Driven Navigation. - Arsalan Mousavian; Alexander Toshev; Marek Fiser; Jana Kosecká; Ayzaan Wahid; James Davidson (ICRA, 2019)

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set. - Clemens Eppner; Arsalan Mousavian; Dieter Fox (ISRR, 2019)

PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation. - Xinke Deng; Arsalan Mousavian; Yu Xiang 001; Fei Xia 002; Timothy Bretl; Dieter Fox (Robotics: Science and Systems, 2019)

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. - Xinke Deng; Arsalan Mousavian; Yu Xiang 001; Fei Xia 002; Timothy Bretl; Dieter Fox (CoRR, 2019)

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. - Yu Xiang 001; Christopher Xie; Arsalan Mousavian; Dieter Fox (CoRL, 2020)

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. - Keunhong Park; Arsalan Mousavian; Yu Xiang 001; Dieter Fox (CVPR, 2020)

Self-supervised 6D Object Pose Estimation for Robot Manipulation. - Xinke Deng; Yu Xiang 001; Arsalan Mousavian; Clemens Eppner; Timothy Bretl; Dieter Fox (ICRA, 2020)

6-DOF Grasping for Target-driven Object Manipulation in Clutter. - Adithyavairavan Murali; Arsalan Mousavian; Clemens Eppner; Chris Paxton 001; Dieter Fox (ICRA, 2020)

Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework. - Yashraj S. Narang; Karl Van Wyk; Arsalan Mousavian; Dieter Fox (Robotics: Science and Systems, 2020)

Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. - Shohin Mukherjee; Chris Paxton 001; Arsalan Mousavian; Adam Fishman; Maxim Likhachev; Dieter Fox (CoRR, 2020)

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. - Mohak Bhardwaj; Balakumar Sundaralingam; Arsalan Mousavian; Nathan D. Ratliff; Dieter Fox; Fabio Ramos 001; Byron Boots (CoRL, 2021)

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. - Lirui Wang; Yu Xiang 001; Wei Yang 019; Arsalan Mousavian; Dieter Fox (CoRL, 2021)

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. - Chris Xie; Arsalan Mousavian; Yu Xiang 001; Dieter Fox (CoRL, 2021)

RGB-D Local Implicit Function for Depth Completion of Transparent Objects. - Luyang Zhu; Arsalan Mousavian; Yu Xiang 001; Hammad Mazhar; Jozef van Eenbergen; Shoubhik Debnath; Dieter Fox (CVPR, 2021)

Object Rearrangement Using Learned Implicit Collision Functions. - Michael Danielczuk; Arsalan Mousavian; Clemens Eppner; Dieter Fox (ICRA, 2021)

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation. - Clemens Eppner; Arsalan Mousavian; Dieter Fox (ICRA, 2021)

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections. - Yashraj S. Narang; Balakumar Sundaralingam; Miles Macklin; Arsalan Mousavian; Dieter Fox (ICRA, 2021)

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. - Martin Sundermeyer; Arsalan Mousavian; Rudolph Triebel; Dieter Fox (ICRA, 2021)

Reactive Human-to-Robot Handovers of Arbitrary Objects. - Wei Yang 019; Chris Paxton 001; Arsalan Mousavian; Yu-Wei Chao; Maya Cakmak; Dieter Fox (ICRA, 2021)

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. - Shohin Mukherjee; Chris Paxton 001; Arsalan Mousavian; Adam Fishman; Maxim Likhachev; Dieter Fox (IROS, 2021)

NeRP: Neural Rearrangement Planning for Unknown Objects. - Ahmed Hussain Qureshi; Arsalan Mousavian; Chris Paxton 001; Michael C. Yip; Dieter Fox (Robotics: Science and Systems, 2021)

Fast Joint Space Model-Predictive Control for Reactive Manipulation. - Mohak Bhardwaj; Balakumar Sundaralingam; Arsalan Mousavian; Nathan D. Ratliff; Dieter Fox; Fabio Ramos 001; Byron Boots (CoRR, 2021)

Interpreting and predicting tactile signals for the SynTouch BioTac. - Yashraj S. Narang; Balakumar Sundaralingam; Karl Van Wyk; Arsalan Mousavian; Dieter Fox (Int. J. Robotics Res., 2021)

PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. - Xinke Deng; Arsalan Mousavian; Yu Xiang 001; Fei Xia 002; Timothy Bretl; Dieter Fox (IEEE Trans. Robotics, 2021)

Unseen Object Instance Segmentation for Robotic Environments. - Christopher Xie; Yu Xiang 001; Arsalan Mousavian; Dieter Fox (IEEE Trans. Robotics, 2021)

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. - Zoey Qiuyu Chen; Karl Van Wyk; Yu-Wei Chao; Wei Yang 019; Arsalan Mousavian; Abhishek Gupta 004; Dieter Fox (CoRL, 2022)

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. - Yann Labbé; Lucas Manuelli; Arsalan Mousavian; Stephen Tyree; Stan Birchfield; Jonathan Tremblay; Justin Carpentier; Mathieu Aubry; Dieter Fox; Josef Sivic (CoRL, 2022)

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. - Ankit Goyal 001; Arsalan Mousavian; Chris Paxton 001; Yu-Wei Chao; Brian Okorn; Jia Deng 001; Dieter Fox (CVPR, 2022)

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations. - Zoey Qiuyu Chen; Karl Van Wyk; Yu-Wei Chao; Wei Yang 019; Arsalan Mousavian; Abhishek Gupta 004; Dieter Fox (CoRR, 2022)

M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. - Wentao Yuan; Adithyavairavan Murali; Arsalan Mousavian; Dieter Fox (CoRL, 2023)

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. - Adithyavairavan Murali; Arsalan Mousavian; Clemens Eppner; Adam Fishman; Dieter Fox (ICRA, 2023)

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. - Ishika Singh; Valts Blukis; Arsalan Mousavian; Ankit Goyal 001; Danfei Xu; Jonathan Tremblay; Dieter Fox; Jesse Thomason; Animesh Garg (ICRA, 2023)

Constrained Generative Sampling of 6-DoF Grasps. - Jens Lundell; Francesco Verdoja; Tran Nguyen Le; Arsalan Mousavian; Dieter Fox; Ville Kyrki (IROS, 2023)

Deep Learning Approaches to Grasp Synthesis: A Review. - Rhys Newbury; Morris Gu; Lachlan Chumbley; Arsalan Mousavian; Clemens Eppner; Jürgen Leitner; Jeannette Bohg; Antonio Morales; Tamim Asfour; Danica Kragic; Dieter Fox; Akansel Cosgun (IEEE Trans. Robotics, 2023)

ProgPrompt: program generation for situated robot task planning using large language models. - Ishika Singh; Valts Blukis; Arsalan Mousavian; Ankit Goyal 001; Danfei Xu; Jonathan Tremblay; Dieter Fox; Jesse Thomason; Animesh Garg (Auton. Robots, 2023)

DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning. - Huang Huang; Balakumar Sundaralingam; Arsalan Mousavian; Adithyavairavan Murali; Ken Goldberg; Dieter Fox (CoRL, 2024)

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics. - Wentao Yuan; Jiafei Duan; Valts Blukis; Wilbert Pumacay; Ranjay Krishna; Adithyavairavan Murali; Arsalan Mousavian; Dieter Fox (CoRL, 2024)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Slot-Level Robotic Placement via Visual Imitation from Single Human Video. - Dandan Shan; Kaichun Mo; Wei Yang 019; Yu-Wei Chao; David Fouhey; Dieter Fox; Arsalan Mousavian (CoRR, 2025)