Rohith Peddi
Scholar

Rohith Peddi

Google Scholar ID: MvhACDcAAAAJ
The University of Texas at Dallas
Neuro Symbolic ModelsScene UnderstandingRobot ManipulationRobust Learning
Citations & Impact
All-time
Citations
44
 
H-index
4
 
i10-index
2
 
Publications
8
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • - Publication: Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation (CVPR 2025)
  • - Award: Louis Beecherl Jr. Fellowship (2024, 2025)
  • - Project: iTeach, winner at the Breaking Barriers Hackathon (Sep 2024)
  • - Publication: CaptainCook4D (NeurIPS 2024)
  • - Publication: Towards Scene Graph Anticipation (ECCV 2024)
  • - Publication: Grasp Trajectory Optimization (IROS 2024)
  • - Publication: Distributionally Robust SPNs (Tractable Probabilistic Models Workshop @ UAI 2022)
  • - Publication: Robust Learning of Tractable Probabilistic Models (UAI 2022)
Research Experience
  • - Teaching Assistant, Sep 2022, for a course taught by Dr. Vibhav Gogate on Advanced ML to Vistra Corp. Pvt Ltd
  • - Internship, Summer 2025, LinkedIn
  • - Service experience, including serving as a reviewer for multiple international conferences and journals such as NeurIPS 2024, IEEE TPAMI Journal, etc.
Education
  • Ph.D. candidate in Computer Science, University of Texas at Dallas; B.Tech, Indian Institute of Technology Kharagpur.
Background
  • AI/ML Researcher, CS Ph.D. Candidate at UT Dallas | B.Tech from IIT Kharagpur. Specializing in developing Neuro-Symbolic methods for Multi-Modal Scene Understanding, 3D Computer Vision and Robot Learning. Developed SOTA algorithms for spatio-temporal scene understanding and imitation learning.