Abhishek Jha
Scholar

Abhishek Jha

Google Scholar ID: rdlsfogAAAAJ
PhD student, ESAT-PSI, KU Leuven
Computer VisionMachine learning
Citations & Impact
All-time
Citations
341
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - “Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions” accepted at ECCV 2024 Workshop on OOD-CV
  • - “HierVision” accepted in Beyond Euclidean Workshop, at ICCV 2025
  • - “SimGlim: Simplifying glimpse based active visual reconstruction” accepted in WACV 2023
  • - “Barlow constrained optimization for Visual Question Answering” accepted in WACV 2023
  • - “Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration” accepted in ICCV 2021
  • - Academic Activities:
  • - Joining Gonçalves lab, VIB-NERF, KU Leuven, as a Postdoctoral researcher in Oct 2025
  • - Attending ICVSS 2023, Sicily, Italy, and presenting a poster on Exploring the stability of Self-Supervised Representations in Jul 2025
  • - Doing an ELLIS research visit at University of Amsterdam, Netherlands, under the supervision of Dr. Yuki Asano in Oct 2023
  • - Attending ELLIS Doctoral symposium 2022 in Alicante, Spain in Aug 2022
Research Experience
  • - Postdoctoral Researcher at NERF, VIB-KU Leuven, working on representation learning
  • - ELLIS doctoral student at KU Leuven, focused on representation learning
  • - Project Assistant at MALL Lab, IISc Bangalore, worked on weakly supervised video understanding using Knowledge Graphs (KG)
  • - Master's student at IIIT Hyderabad, focused on visual speech recognition and image stylization
Education
  • - PhD: KU Leuven, supervised by Prof. Tinne Tuytelaars and Dr. Yuki Asano, focused on representation learning
  • - MS: IIIT Hyderabad, jointly advised by Prof. C. V. Jawahar and Prof. Vinay P. Namboodiri, focused on visual speech recognition and image stylization
Background
  • - Research Interests: Representation learning, particularly in developing robust and interpretable representations
  • - Professional Field: Visual information processing, self-supervised learning, multi-modal learning
  • - Brief Introduction: Currently a Postdoctoral researcher at NERF, VIB-KU Leuven, advised by Dr. Pedro J. Gonçalves. Previously completed his PhD at KU Leuven, focusing on understanding and transferring the learning dynamics of visual representations in the absence of labels.