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Research Group

Image showing three lines of incoming 1s and 0s in cyan, magenta, and yellow, that then merge into a multi-colored dense grid of 1s and 0s.

Image and Video
Computing Group

We focus on creating computing systems that enable and accelerate the analysis of visual information, as a critical precursor to discoveries and innovations that can benefit society at large. We develop both scalable automated algorithms and crowdsourced human intelligence systems for analyzing images and videos. Our research involves computer vision, machine learning, crowdsourcing, human computation, human-computer interaction, accessibility, and (bio)medical image analysis.

Research Themes

Visual Analysis for Blind People

Designing solutions with and for people who are blind that facilitate interpreting visual information

(Bio)medical Image and Video Analysis

Assisting (bio)medical teams to learn about biological processes as well as detect and treat diseases.

Visual Privacy Preservation

Empowering individuals to identify and manage any private content found in their images and videos

Hybrid Human-Machine Partnerships

Leveraging the strengths of humans and AI together to outperform what either can achieve alone

Image Descriptions

Providing human-like interactions with visual content either by describing images or answering questions about images

Image Generation

Creating new images by modifying existing images to meet end users’ visual goals

Dense Prediction

Locating content in images, either using rectangles (detection) or detailed outlines (segmentation)

Tracking

Following the movement of content in videos over time

Sponsors

Amazon logo
Microsoft logo
NSF logo
Silicon Valley Community Foundation logo
University of Texas at Austin logo
Wings of Hope logo
CU Anschutz logo

Current Group Members

Headshot photo of Samreen Anjum
Postdoctoral Fellow
Headshot photo of Chongyan Chen
PhD Student
Headshot photo of Everley Tseng
PhD Student
Headshot photo of Josh Myers-Dean
PhD Student
Headshot photo of Atharva Peshkar
PhD Student
Headshot photo of Jarek Reynolds
PhD Student
Headshot photo of Nick Cooper
Nick Cooper
PhD Student
Headshot photo of Neelima Prasad
PhD Student
Headshot photo of Stuti Pandey
Stuti Pandey
Masters Student
Headshot photo of Anush Kumar Venkatesh
Anush Kumar Venkatesh
Masters Student
Headshot photo of Aashish Mukund
Aashish Mukund
Masters Student

Alumni

  • Ojasvi Bhalerao, MS at University of Colorado Boulder, 2023. Joined Microsoft.
  • Alexander (Alec) Bell, MS candidate at University of Colorado Boulder, 2022. Founded SensorSurf.
  • Dr. Tai-Yin Chiu, PhD at University of Texas at Austin, 2022. Joined Tomato AI.
  • Pei-Chih (Patrick) Chao, MSIS at University of Texas at Austin, 2021. Joined Tesla.
  • Dr. Yinan Zhao, PhD at University of Texas at Austin, 2021.  Joined Meta as a Research Scientist and then Adobe.
  • Dr. Abigale Stangl, Postdoctoral Fellow at University of Texas at Austin, 2020. Joined University of Washington as a Postdoctoral Fellow and then Georgia Tech as an Assistant Professor.
  • Xiaoyu (Edith) Zeng, MSIS at University of Texas at Austin, 2019. Joined Apple and then Intuit.
  • Yanan Wang, MSIS at University of Texas at Austin, 2019. Joined University of Wisconsin-Madison as a PhD student.
  • Meng Zhang, MSIS at University of Texas at Austin, 2019.
  • Chi (Benny) Lin, MSIS at University of Texas at Austin, 2019. Joined Houzz.
  • Dr. Mehrnoosh Sameki, PhD at Boston University (co-advised with Margrit Betke), 2017. Joined Rue La La and then Microsoft.

Prospective Students

My goal for individuals joining this group is to guide them to identify their dream jobs; arm them with the knowledge, skills, and community to make their dreams become a reality; and support them to make a positive social impact along the way. If you are interested in joining, please review this FAQ page first.