Aayush Atul Verma

I'm a PhD student at the ASU Active Perception Group, where I am guided by Dr. Yezhou Yang. My research interests lie in the field of computer vision, especially in neuromorphic vision and generative models. I am particularly interested in exploring the temporal dynamics of these modalities and investigating how they can be integrated with both visual and non-visual data, such as text, to enhance perception and motion understanding.

I earned my Master's degree in Computer Science from Arizona State University in 2024, following my Bachelor's degree in Computer Science from Birla Institute of Technology and Science, Pilani (BITS Pilani) in 2021. Prior to starting my Master's, I spent a year working at Postman, where I gained valuable industry experience.

Email  /  Scholar  /  LinkedIn  /  Github

profile photo

News

  • [November, 2024] Organizing workshop at WACV 2025 on Event-based Vision in the Era of Generative AI.
  • [November, 2024] Co-organized Learning on Graphs conference 2024, local meetup Tempe AZ.
  • [August, 2024] Started my PhD.
  • [April, 2024] Two papers accepted at CVPR workshops 2024.
  • [March, 2024] One paper accepted at CVPR 2024 (Highlight).

Research

Important papers are highlighted.
Boundary_png eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma*, Bharatesh Chakravarthi* Arpitsinh Vaghela*, Hua Wei, Yezhou Yang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight Paper)

PDF  |  Data  |  GitHub  |  Poster

Boundary_png Recent Event Camera Innovations: A Survey
Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis, Cornelia Fermuller,
Yezhou Yang
The 18th European Conference on Computer Vision ECCV 2024 Workshop (NeVi), 2024

PDF  |  GitHub  |  Poster

Boundary_png Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations
Aayush Atul Verma*, Amir Saeidi*, Shamanthak Hegde*, Ajay Therala*, Fenil Denish Bardoliya*, Nagaraju Machavarapu*, Shri Ajay Kumar Ravindhiran*, Srija Malyala*, Agneet Chatterjee*, Yezhou Yang, Chitta Baral
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2024

PDF

Boundary_png SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
Manideep Reddy Alimanti*, Bharatesh Chakravarthi*, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2024

PDF  |  GitHub  |  Poster


I sincerely thank Jon Baron for developing and open sourcing the web layout.