← Authors

Abhinav Gupta

125 papers · 2008–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (33) 🌟 Keyword Trendsetter Combo (13) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘₯ Mega-Team (98) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (21) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ❓ The Questioner (3) ⚑ Prolific Year (22) πŸ’Ž Century Club (125) πŸ—ƒοΈ Keyword Collector (66) πŸ“ˆ Trend Setter

Conferences

CVPR (33) ICCV (27) CORL (15) NIPS (15) ICLR (11) ECCV (8) ICML (6) RSS (5) ACL (2) EMNLP (1) L4DC (1) WACV (1)

Top co-authors

Shubham Tulsiani (23) Xiaolong Wang (12) Martial Hebert (9) Lerrel Pinto (8) Senthil Purushwalkam (8) Yufei Ye (8) Xinlei Chen (7) Deepak Pathak (7) Abhinav Shrivastava (7) Saurabh Gupta (7)

Research topics

Computer Vision (1)

Keywords

convolutional neural network (11) representation learning (10) object detection (10) robot manipulation (9) self-supervised learning (9) action recognition (9) 3d reconstruction (9) reinforcement learning (8) scene understanding (8) pose estimation (7) transfer learning (6) knowledge graph (6) video understanding (6) imitation learning (6) zero-shot learning (5) policy learning (5) unsupervised learning (5) visual representation (5) deep reinforcement learning (4) semi-supervised learning (4)

Papers

AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation CORL 2025
HRP: Human affordances for Robotic Pre-training RSS 2024
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation ECCV 2024
Legolas: Deep Leg-Inertial Odometry CORL 2024
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis CVPR 2024
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning ECCV 2024
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling ICML 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations ICCV 2023
Affordance Diffusion: Synthesizing Hand-Object Interactions CVPR 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training CORL 2023
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips ICCV 2023
What's in Your Hands? 3D Reconstruction of Generic Objects in Hands CVPR 2022
The Challenges of Continuous Self-Supervised Learning ECCV 2022
Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction CVPR 2022
Learning State-Aware Visual Representations from Audible Interactions NIPS 2022
Last-Mile Embodied Visual Navigation CORL 2022
Learning Multi-Objective Curricula for Robotic Policy Learning CORL 2022
R3M: A Universal Visual Representation for Robot Manipulation CORL 2022
Human-to-Robot Imitation in the Wild RSS 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control ICML 2022
Robots on Demand: A Democratized Robotics Research Cloud CORL 2021
Learn-To-Race: A Multimodal Control Environment for Autonomous Racing ICCV 2021
PixelTransformer: Sample Conditioned Signal Generation ICML 2021
Dynamic population-based meta-learning for multi-agent communication with natural language NIPS 2021
Supervoxel Attention Graphs for Long-Range Video Modeling WACV 2021
Shelf-Supervised Mesh Prediction in the Wild CVPR 2021
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA CVPR 2021
Wanderlust: Online Continual Object Detection in the Real World ICCV 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NIPS 2021
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning ICLR 2021
Hierarchical Neural Dynamic Policies RSS 2021
No RL, No Simulation: Learning to Navigate without Navigating NIPS 2021
Audio-Visual Floorplan Reconstruction ICCV 2021
The Functional Correspondence Problem ICCV 2021
Where2Act: From Pixels to Actions for Articulated 3D Objects ICCV 2021
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation CORL 2021
ReSkin: versatile, replaceable, lasting tactile skins CORL 2021
ClusterFit: Improving Generalization of Visual Representations CVPR 2020
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping CORL 2020
Visual Imitation Made Easy CORL 2020
DeepMPCVS: Deep Model Predictive Control for Visual Servoing CORL 2020
Transformers for One-Shot Visual Imitation CORL 2020
Compositionality and Capacity in Emergent Languages ACL 2020
Swoosh! Rattle! Thump! - Actions that Sound RSS 2020
Learning Robot Skills with Temporal Variational Inference ICML 2020
Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020
Discovering Motor Programs by Recomposing Demonstrations ICLR 2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning ICLR 2020
Learning To Explore Using Active Neural SLAM ICLR 2020
Dynamics-Aware Embeddings ICLR 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NIPS 2020
Object Goal Navigation using Goal-Oriented Semantic Exploration NIPS 2020
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects CVPR 2020
Articulation-Aware Canonical Surface Mapping CVPR 2020
Neural Topological SLAM for Visual Navigation CVPR 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning NIPS 2020
See, Hear, Explore: Curiosity via Audio-Visual Association NIPS 2020
Semantic Curiosity for Active Visual Learning ECCV 2020
Aligning Videos in Space and Time ECCV 2020
Self-Supervised Exploration via Disagreement ICML 2019
Object-centric Forward Modeling for Model Predictive Control CORL 2019
Canonical Surface Mapping via Geometric Cycle Consistency ICCV 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning ICCV 2019
Seeded self-play for language learning EMNLP 2019
3D-RelNet: Joint Object and Relational Network for 3D Prediction ICCV 2019
Learning Exploration Policies for Navigation ICLR 2019
Environment Probing Interaction Policies ICLR 2019
Task-Driven Modular Networks for Zero-Shot Compositional Learning ICCV 2019
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NIPS 2019
Compositional Video Prediction ICCV 2019
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies ICLR 2019
Visual Semantic Navigation using Scene Priors ICLR 2019
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces ICLR 2019
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation CORL 2018
Beyond Grids: Learning Graph Representations for Visual Recognition NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NIPS 2018
Learning by Asking Questions CVPR 2018
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs CVPR 2018
Iterative Visual Reasoning Beyond Convolutions CVPR 2018
Actor and Observer: Joint Modeling of First and Third-Person Videos CVPR 2018
Non-Local Neural Networks CVPR 2018
Interpretable Intuitive Physics Model ECCV 2018
Videos as Space-Time Region Graphs ECCV 2018
Compositional Learning for Human Object Interaction ECCV 2018
Spatial Memory for Context Reasoning in Object Detection ICCV 2017
The Pose Knows: Video Forecasting by Generating Pose Futures ICCV 2017
What Actions Are Needed for Understanding Human Actions in Videos? ICCV 2017
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection ICCV 2017
Transitive Invariance for Self-Supervised Visual Representation Learning ICCV 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era ICCV 2017
Visual Semantic Planning Using Deep Successor Representations ICCV 2017
The More You Know: Using Knowledge Graphs for Image Classification CVPR 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection CVPR 2017
Binge Watching: Scaling Affordance Learning From Sitcoms CVPR 2017
From Red Wine to Red Tomato: Composition With Context CVPR 2017
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification CVPR 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision CVPR 2017
Asynchronous Temporal Fields for Action Recognition CVPR 2017
What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017
Robust Adversarial Reinforcement Learning ICML 2017
Training Region-Based Object Detectors With Online Hard Example Mining CVPR 2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction CVPR 2016
Cross-Stitch Networks for Multi-Task Learning CVPR 2016
Actions ~ Transformations CVPR 2016
3D Shape Attributes CVPR 2016
Webly Supervised Learning of Convolutional Networks ICCV 2015
Unsupervised Visual Representation Learning by Context Prediction ICCV 2015
Single Image 3D Without a Single 3D Image ICCV 2015
Designing Deep Networks for Surface Normal Estimation CVPR 2015
Unsupervised Learning of Visual Representations Using Videos ICCV 2015
Dense Optical Flow Prediction From a Static Image ICCV 2015
Sense Discovery via Co-Clustering on Images and Text CVPR 2015
Patch to the Future: Unsupervised Visual Prediction CVPR 2014
Enriching Visual Knowledge Bases via Object Discovery and Segmentation CVPR 2014
Representing Videos Using Mid-level Discriminative Patches CVPR 2013
Mid-level Visual Element Discovery as Discriminative Mode Seeking NIPS 2013
Building Part-Based Object Detectors via 3D Geometry ICCV 2013
Data-Driven 3D Primitives for Single Image Understanding ICCV 2013
NEIL: Extracting Visual Knowledge from Web Data ICCV 2013
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces NIPS 2010
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NIPS 2008