7 citations · 9 across the 2 of their papers we have counts for
5 papers
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning
Saarthak Kapse, Srijan Das, Jingwei Zhang +4
We propose DiRL, a Diversity-inducing Representation Learning technique for histopathology imaging. Self-supervised learning techniques, such as contrastive and non-contrastive app…
AAN: Attributes-Aware Network for Temporal Action Detection
Rui Dai, Srijan Das, Michael S. Ryoo +1
The challenge of long-term video understanding remains constrained by the efficient extraction of object semantics and the modelling of their relationships for downstream tasks. Al…
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
Pranav Balaji, Abhijit Das, Srijan Das +1
This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend ge…
Video + CLIP Baseline for Ego4D Long-term Action Anticipation
Srijan Das, Michael S. Ryoo
In this report, we introduce our adaptation of image-text models for long-term action anticipation. Our Video + CLIP framework makes use of a large-scale pre-trained paired image-t…
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints
Srijan Das, Michael S. Ryoo
Learning self-supervised video representation predominantly focuses on discriminating instances generated from simple data augmentation schemes. However, the learned representation…