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20182023
most citedDoes Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

9 citations · 40 across the 13 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 2 cited

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…

cs.CV2021

Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning

Srijan Das, Michael S. Ryoo

Contrastive representation learning of videos highly relies on the availability of millions of unlabelled videos. This is practical for videos available on web but acquiring such l…

cs.CV2021

MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

Rui Dai, Srijan Das, Kumara Kahatapitiya +2

Action detection is an essential and challenging task, especially for densely labelled datasets of untrimmed videos. The temporal relation is complex in those datasets, including c…

cs.CV2021

CTRN: Class-Temporal Relational Network for Action Detection

Rui Dai, Srijan Das, Francois Bremond

Action detection is an essential and challenging task, especially for densely labelled datasets of untrimmed videos. There are many real-world challenges in those datasets, such as…

cs.CV2021

Weakly-supervised Joint Anomaly Detection and Classification

Snehashis Majhi, Srijan Das, Francois Bremond +2

Anomaly activities such as robbery, explosion, accidents, etc. need immediate actions for preventing loss of human life and property in real world surveillance systems. Although th…

cs.CV2021

Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection

Rui Dai, Srijan Das, Francois Bremond

In video understanding, most cross-modal knowledge distillation (KD) methods are tailored for classification tasks, focusing on the discriminative representation of the trimmed vid…

cs.CV2021★ 1 cited

VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living

Srijan Das, Rui Dai, Di Yang +1

Many attempts have been made towards combining RGB and 3D poses for the recognition of Activities of Daily Living (ADL). ADL may look very similar and often necessitate to model fi…