Saurabh Gupta
Associate Professor
Studies robot learning and computer vision, including visual navigation and manipulation learned from video.
Saurabh Gupta's lab at UIUC works on manipulation & robot learning, robot perception & SLAM and embodied & active vision. 28 papers since 2023, 26 at top venues, mostly ECCV and CVPR. 4 PhD students and 1 master's student. 22 alumni, most often to Amazon and Meta. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 93%
- PhD students
- 4
- MS students
- 1
- alumni listed
- 22
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 7 papers2025 · T1 7
- 9 papers2024 · T1 9
- 8 papers2023 · T1 7
T1 venuesOtherVenues: ECCV, CVPR, RSS, CoRL, ICRA
Research focuspaper titles that use each topic's words
- Manipulation & robot learning7 papers
- Robot perception & SLAM0 papers
- Embodied & active vision0 papers
- visual navigation0 papers
- studies robot0 papers
Paper list
From the lab homepage.
20264 papers
- CoRL (T1)ContactMimic: Humanoid Object Interaction via Contact Control (opens in a new tab)
- CoRL (T1)Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation (opens in a new tab)
- ECCV (T1)MoRight: Motion Control Done Right (opens in a new tab)
- RA-LPrecise Mobile Manipulation of Small Everyday Objects (opens in a new tab)
20257 papers
- EMNLP (T1)Alphaone: Reasoning models thinking slow and fast at test time (opens in a new tab)
- RSS (T1)Demonstrating MOSART: Opening Articulated Structures in the Real World (opens in a new tab)
- CVPR (T1)How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions (opens in a new tab)
- RSS (T1)Learning Getting-Up Policies for Real-World Humanoid Robots (opens in a new tab)
- IROS (T1)Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies (opens in a new tab)
- CVPR (T1)PhysGen3D: Crafting a Miniature Interactive World from a Single Image (opens in a new tab)
- NeurIPS (T1)Visual Sync: Multi-Camera Synchronization via Cross-View Object Motion (opens in a new tab)
20249 papers
- ECCV (T1)3D Hand Pose Estimation in Everyday Egocentric Images (opens in a new tab)
- ECCV (T1)3D Reconstruction of Objects in Hands without Real World 3D Supervision (opens in a new tab)
- MobiCom (T1)Around the Corner mmWave Imaging in Practical Environments (opens in a new tab)
- ECCV (T1)Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects (opens in a new tab)
- CVPR (T1)Bootstrapping Autonomous Radars with Self-Supervised Learning (opens in a new tab)
- RSS (T1)Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning (opens in a new tab)
- RSS (T1)GOAT: GO to Any Thing (opens in a new tab)
- ECCV (T1)Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops (opens in a new tab)
- ECCV (T1)PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation (opens in a new tab)
20238 papers
- CVPR (T1)Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds (opens in a new tab)
- MobiSysContactless Material Identification with Millimeter Wave Vibrometry (opens in a new tab)
- ICASSP (T1)Exploiting Virtual Array Diversity For Accurate Radar Detection (opens in a new tab)
- NeurIPS (T1)Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos (opens in a new tab)
- ICCV (T1)Object-centric Contact Field for Grasp Generation (opens in a new tab)
- ICRA (T1)One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation (opens in a new tab)
- ICRA (T1)Predicting Motion Plans for Articulating Everyday Objects (opens in a new tab)
- CoRL (T1)Push Past Green: Learning to Look Behind Plant Foliage by Moving It (opens in a new tab)
Where alumni went22 listed, 45% to industry
Industry 5Academia 6
Most often to
- Amazon
- Meta
- NVIDIA
Also to
- UIUC
- UC San Diego
- USC
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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