Aayush Atul Verma

profile photo

I am a PhD student in the Active Perception Group at Arizona State University, advised by Dr. Yezhou Yang. My research focuses on the foundations of generative modeling, particularly how to make generative processes more efficient, adaptive, and responsive to the task. I'm interested in questions around sampling, computation allocation, and the role of time and sparsity in generation. My earlier research on asynchronous perception shapes how I think about these problems.

Prior to my PhD, I earned a Master's in Computer Science at Arizona State University in 2024, and a Bachelor's in Computer Science at Birla Institute of Technology and Science, Pilani (BITS Pilani) in 2021. In Summer 2025, I interned at Analog Garage (Analog Devices), where I worked on efficient neural computation across spiking, graph, and conventional vision networks.

News

  • [November, 2025] Paper accepted to WACV 2026.
  • [Summer, 2025] Completed research internship at Analog Garage (Analog Devices).
  • [November, 2024] Organized workshop at WACV 2025.
  • [November, 2024] Co-organized Learning on Graphs 2024 local meetup (Tempe AZ).
  • [August, 2024] Started my PhD at ASU Active Perception Group.
  • [April, 2024] One paper accepted at CVPR 2024 (Highlight).
  • [April, 2024] Two papers accepted at CVPR Workshops.

Research

WACV 2026 thumbnail
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
A. A. Verma*,..., Y. Yang - WACV 2026
Links coming soon.
eTraM: Event-based Traffic Monitoring Dataset
A. A. Verma*, B. Chakravarthi*, A. Vaghela*, H. Wei, Y. Yang - CVPR 2024 (Highlight)
PDF  |  Data  |  GitHub
Recent Event Camera Innovations: A Survey
B. Chakravarthi, A. A. Verma, K. Daniilidis, C. Fermuller, Y. Yang - ECCV 2024 Workshop
PDF  |  GitHub
Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations
A. A. Verma*, A. Saeidi*, S. Hegde*, ..., A. Chatterjee*, Y. Yang, C. Baral - CVPRW 2024
PDF
SEVD: Synthetic Event-based Vision Dataset
M. R. Alimanti*, B. Chakravarthi*, A. A. Verma, A. Vaghela, H. Wei, X. Zhou, Y. Yang - CVPRW 2024
PDF  |  GitHub