research
∙
08/25/2023
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
This work explores various ways of exploring multi-task learning (MTL) t...
share
research
∙
06/15/2023
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Human perception of surroundings is often guided by the various poses pr...
research
∙
07/01/2022
Video + CLIP Baseline for Ego4D Long-term Action Anticipation
In this report, we introduce our adaptation of image-text models for lon...
research
∙
06/23/2022
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
Humans are remarkably flexible in understanding viewpoint changes due to...
research
∙
12/07/2021
STC-mix: Space, Time, Channel mixing for Self-supervised Video Representation
Contrastive representation learning of videos highly relies on the avail...
research
∙
12/07/2021
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints
Learning self-supervised video representation predominantly focuses on d...
research
∙
12/07/2021
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
Action detection is an essential and challenging task, especially for de...
research
∙
10/26/2021
CTRN: Class-Temporal Relational Network for Action Detection
Action detection is an essential and challenging task, especially for de...
research
∙
08/20/2021
Weakly-supervised Joint Anomaly Detection and Classification
Anomaly activities such as robbery, explosion, accidents, etc. need imme...
research
∙
08/08/2021
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
In video understanding, most cross-modal knowledge distillation (KD) met...
research
∙
05/17/2021
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
Many attempts have been made towards combining RGB and 3D poses for the ...
research
∙
10/28/2020
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
This work aims at building a large scale dataset with daily-living activ...
research
∙
07/06/2020
VPN: Learning Video-Pose Embedding for Activities of Daily Living
In this paper, we focus on the spatio-temporal aspect of recognizing Act...
research
∙
02/01/2018