Search Results for author:
Found 7 papers, 4 papers with code
CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes
Annotating images from LCM significantly increases the burden on medical experts compared to annotating images from high-cost microscopes (HCM).
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
To address these issues, we propose 1) a more challenging reformulation of temporal self-supervision as frame-level (rather than clip-level) recognition tasks and 2) an effective augmentation strategy to mitigate shortcuts.
EventTransAct: A video transformer-based framework for Event-camera based action recognition
Recognizing and comprehending human actions and gestures is a crucial perception requirement for robots to interact with humans and carry out tasks in diverse domains, including service robotics, healthcare, and manufacturing.
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
In this paper, we propose TeD-SPAD, a privacy-aware video anomaly detection framework that destroys visual private information in a self-supervised manner.
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
We observe that these representations complement each other depending on the nature of the action.
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos
Drone-to-drone detection using visual feed has crucial applications, such as detecting drone collisions, detecting drone attacks, or coordinating flight with other drones.
SPAct: Self-supervised Privacy Preservation for Action Recognition
Existing approaches for mitigating privacy leakage in action recognition require privacy labels along with the action labels from the video dataset.
Ranked #1 on
Action Classification
on UCF101
