Perception and Intelligence (PI) Lab
We equip machines with perception abilities, enabling them to understand, interact with, and respond to their environment. We work broadly across computer vision, machine learning, and robotics.
Current Students
Prospective students: I am not actively looking for new PhD students beyond those I am already in touch with. That said, the broader CV group admits PhD students in computer vision, machine learning, and related fields every year. Learn more about the graduate program and our outstanding CV faculty.
PhD Alumni
From Demonstration to Dynamic Interaction: Enabling Long-Term Robotic Planning
๐ '25 โAssured Robust Intelligence (ARI)
Learning Structured Alignment: From Visual Understanding to Robot Control
๐ '25 โMeta โAmazon (FAR)
Neural Networks as Databases: From Data to Model Compression
๐ '25 โVideo AI Startup (Stealth)
Generating Visual Content: From Pixel Orders to Videos and Beyond
๐ '25 โLuma AI
Understanding and Modeling Explicit and Implicit Representations of the Visual World
๐ '25 โTikTok โInstitute of Foundation Models
Interactive Vision Systems with Visual and Textual Prompts
๐ '25 โPinterest Research
Object-Attribute Compositionality for Visual Understanding
๐ '24 โWaymo
Supervision and Data Dynamics in Vision Across Recognition and Generation Landscapes
๐ '24 โMeta Reality Labs
Everything Efficient All at Once: Compressing Data and Deep Networks
๐ '24 โSnap Research
Advanced Video Modeling Techniques for Generation and Enhancement Tasks
๐ '24 โAmazon
Towards Effective Temporal Modeling for Video Understanding
๐ '24 โMeta
Recognizing Object-Centric Attributes and Relations
๐ '23 โMeta
Learning and Composing Primitives for the Visual World
๐ '23 โTesla Optimus
An Efficient Neural Representation for Videos
๐ '23 โMeta (PostDoc) โByteDance
๐ '22 โMeta (PostDoc) โMeta โSkild AI
Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis
co-advised with Larry Davis
๐ '22 โMeta
๐ '22 โNVIDIA
๐ '22 โCruise โSalesforce Research
๐ '21 โWhiteRabbit.AI
Scene and Action Understanding Using Context and Knowledge Sharing
co-advised with Larry Davis
๐ '20 โAmazon
๐ '20 โAmazon โ ... โAdobe (Firefly)
Post-doctoral Researchers
Pravin Nagar โ Dolby Research
MS Alumni
Pulkit Kumar โ PhD at UMD
Anubhav โ PhD at UMD
Namitha Padmanabhan โ PhD at UMD
Gaurav Shrivastava โ PhD at UMD
Shishira R Maiya โ PhD at UMD
Sonaal Kant โ Amazon โ Causify โ Imagry
Vinoj Jayasundara You're missed, Vinoj.
Undergraduate Interns
Anirud Aggarwal (CRA Outstanding Undergraduate Researcher - Honorable Mention) โ Video AI Startup (Stealth)
Archit Kambhamettu โ PhD at UMD
Vatsal Agarwal โ PhD at UMD
Eric Zhu โ MS at CMU
Anjali Gupta (Summer'23) โ PhD at NYU
Mukund Shankar (Summer'23-Spring'24) โ MS at UMD
Sumit Nawathe (Fall'23, Spring'24) โ MS at UMD
Mohit Jain (Summer'19) โ MS at UCSD โ Pinterest โ Etsy
Naman Jain (Summer'19) โ MSR India โ PhD at UC Berkeley
Visitors
Archana Swaminathan โ PhD at UMD
Namitha Padmanabhan โ MS at UMD
Gaurav Shrivastava โ MS at UMD
Yosuke Yamaguchi (Waseda University)
Yubo Wang (Waseda University)
High School Interns
Anjali Gupta (Summer'19) โ Yale (Hahn Fellow)
Meili Gupta (Summer'19) โ Yale
Michelle Tang (Summer'19, Regeneron Semi-finalist) โ Columbia