Awards, Talks, & Press

Awards & Honors

2025
Distinguished Alumni Award for Academic Excellence, JIIT
2024
NAIRR Pilot Resource Allocation Presented at White House event: "Opportunities at the AI Research Frontier"
Invited Talk at NAE/JHU Forum on Engineered AI Systems Organized by National Academy of Engineering and JHU
Google Faculty Research Gift
Amazon Research Award
2023
NSF CAREER Representing, Discovering, and Assembling Motifs for Video Understanding
2021
Amazon Research Award
2020
Best Paper Award (Applications), IEEE WACV Hand-Priming in Object Localization for Assistive Egocentric Vision
2019
Best Paper Finalist, CVPR Relational Action Forecasting
2015
Outstanding Reviewer Award, CVPR
2014
Microsoft Research Ph.D. Fellowship 2014-2016
Best Student Paper Award, IEEE WACV Data-driven Exemplar Model Selection
2013
CNN's Top-10 Ideas of 2013 (Thinking Tech) For NEIL: Extracting Visual Knowledge from Web Data
2011
CRA Research Highlight, Computing Community Consortium Identifying Similar Images Across Domains
2010
Vice Chancellor Gold Medal Awarded to Rank 1 out of 120, JIIT

Invited Talks

2025
From Pixels to Plans: Structured Visual Alignment for Sequential Robotic Decision Making The Cornell, Maryland, Max Planck Pre-doctoral Research School in Computer Science (CMMRS)
2024
From Demonstrations to Instructions: Enabling Long-term Robot Planning Hitachi, Japan
From Demonstrations to Instructions: Enabling Long-term Robot Planning Waseda University, Japan
The Vision-Language Dilemma: A Case Study of Object-Attribute Compositional Learning NAE and JHU Forum on Engineered AI Systems
Unified Representation Learning White House event: "Opportunities at the AI Research Frontier", White House
2023
Revisiting Object-attribute Compositional Learning AI Workshop: Seoul National University, South Korea
Revisiting Object-attribute Compositional Learning AI Workshop: Yonsei University, South Korea
Compositional Learning for Object-centric Attributes and Relations UMD CS Dept. Colloquium
2022
Reviving Object Discovery: Where from & Where to? Symposium/retreat: Willow team at INRIA, France
Reviving Object Discovery: Where from & Where to? Workshop: Visual Perception and Learning in an Open World, CVPR
2021
Reviving Object Discovery: Where from & Where to? Workshop: Open World Vision, CVPR
Computer Vision in BFSI and Retail NASSCOM Xperience AI Summit
2019
Generating and Detecting Falsified Media: A.I.'s Cat-and-Mouse Game NIST
Exploratory, Relational, and Predictive Learning Machine Common Sense, Telluride Neuromorphic Cognition Engineering Workshop
2017
Top-down Mechanisms in Bottom-up Deep Networks Workshop on Deep Learning, University of Maryland, College Park
The Small and the Rare: the Twin Menace of Visual Recognition Facebook FAIR
The Small and the Rare: the Twin Menace of Visual Recognition 4Catalyzer
The Small and the Rare: the Twin Menace of Visual Recognition Colloquium: University of Maryland, College Park
The Small and the Rare: the Twin Menace of Visual Recognition GRASP Seminar: University of Pennsylvania
2016
Training Region-based Object Detectors with Online Hard Example Mining CVPR
2013
NEIL: Extracting Visual Knowledge from Web Data CMU VASC Seminar
NEIL: Extracting Visual Knowledge from Web Data ICCV
2012
Constrained Semi-Supervised Learning using Attributes and Comparative Attributes CMU VASC Seminar
Constrained Semi-Supervised Learning using Attributes and Comparative Attributes ECCV
2011
Data-driven Visual Similarity for Cross-domain Image Matching SIGGRAPH Asia

Press & Media

Maryland Today UMD Researchers Are Creating a Bio-Nose That Smells for Real
Maryland Today Can Chopping Fruit Help Computers Learn?
TechXplore Researchers create dataset to address object recognition problem in machine learning
UMIACS Blog Chop & Learn: Teaching Computers to Recognize Food in All Forms
Medium Blog Hollywood is Scared to Death with AI, But Will Love this Cutting-Edge Innovation
Google AI Blog Self-Supervised Tracking via Video Colorization
Google Research Blog Revisiting the Unreasonable Effectiveness of Data
Wired AI And 'Enormous Data' Could Make Tech Giants Harder to Topple
Discover Magazine The Greatest Hits, and Misses, of an Image-Learning AI
CNN Thinking Tech (Top-10 Ideas of 2013)
Forbes Computer Learns Common Sense From The Internet
Newsweek Watch out, WATSON. You've got competition
BBC News Computer uses images to teach itself common sense
Yahoo! News New research aims to teach computers common sense
Business Insider Researchers Are Trying To Teach Computers Common Sense
Associated Press (AP) New research aims to teach computers common sense
Slashdot CMU AI Learning Common Sense By Watching the Internet
Engadget Carnegie Mellon computer learns common sense through pictures, shows what it's thinking
Techradar Meet NEIL, the computer that thinks like you do
TechCrunch CMU Researchers One-Up Google Image Search & Photosynth With Visual Similarity Engine
Science Daily Computerized method for matching images in photos, paintings, sketches created
Y! Hacker News A better search for visually similar images
New Atlas CMU algorithm matches sketches, paintings to photographs
CCC (Computing Community Consortium) Identifying Similar Images Across Domains