Suman Saha | DeepAI

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∙ 09/08/2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

3D visual grounding is the task of localizing the object in a 3D scene w...

0 Ozan Unal, et al. ∙

∙ 08/25/2023

CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing

Despite their simpler information fusion designs compared with Vision Tr...

0 Jonathan Cui, et al. ∙

∙ 04/27/2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation

With autonomous industries on the rise, domain adaptation of the visual ...

0 Suman Saha, et al. ∙

∙ 09/28/2022

Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection

We propose a novel domain adaptive action detection approach and a new a...

0 Yifan Lu, et al. ∙

∙ 09/06/2022

Spatio-Temporal Action Detection Under Large Motion

Current methods for spatiotemporal action tube detection often extend a ...

0 Gurkirt Singh, et al. ∙

∙ 05/18/2021

Unsupervised Compound Domain Adaptation for Face Anti-Spoofing

We address the problem of face anti-spoofing which aims to make the face...

0 Ankush Panwar, et al. ∙

∙ 05/17/2021

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

We present an approach for encoding visual task relationships to improve...

12 Suman Saha, et al. ∙

∙ 02/23/2021

ROAD: The ROad event Awareness Dataset for Autonomous Driving

Humans approach driving in a holistic fashion which entails, in particul...

0 Gurkirt Singh, et al. ∙

∙ 12/19/2020

Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation

Training deep networks for semantic segmentation requires large amounts ...

9 Lukas Hoyer, et al. ∙

∙ 07/24/2020

Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

Multi-task networks are commonly utilized to alleviate the need for a la...

14 Menelaos Kanakis, et al. ∙

∙ 04/03/2020

Two-Stream AMTnet for Action Detection

In this paper, we propose Two-Stream AMTnet, which leverages recent adva...

0 Suman Saha, et al. ∙

∙ 12/15/2019

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing

Nowadays, the increasingly growing number of mobile and computing device...

10 Suman Saha, et al. ∙

∙ 08/23/2018

Predicting Action Tubes

In this work, we present a method to predict an entire `action tube' (a ...

6 Gurkirt Singh, et al. ∙

∙ 08/01/2018

TraMNet - Transition Matrix Network for Efficient Action Tube Proposals

Current state-of-the-art methods solve spatiotemporal action localisatio...

0 Gurkirt Singh, et al. ∙

∙ 07/30/2018

Action Detection from a Robot-Car Perspective

We present the new Road Event and Activity Detection (READ) dataset, des...

0 Valentina Fontana, et al. ∙

∙ 05/10/2018

Unsupervised Deep Representations for Learning Audience Facial Behaviors

In this paper, we present an unsupervised learning approach for analyzin...

0 Suman Saha, et al. ∙

∙ 07/22/2017

Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos

Current state-of-the-art human action recognition is focused on the clas...

0 Suman Saha, et al. ∙

∙ 04/05/2017

Incremental Tube Construction for Human Action Detection

Current state-of-the-art action detection systems are tailored for offli...

0 Harkirat S. Behl, et al. ∙

∙ 11/25/2016

Online Real-time Multiple Spatiotemporal Action Localisation and Prediction

We present a deep-learning framework for real-time multiple spatio-tempo...

0 Gurkirt Singh, et al. ∙

∙ 08/04/2016

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos

In this work, we propose an approach to the spatiotemporal localisation ...

0 Suman Saha, et al. ∙

∙ 07/16/2014

Faults in Linux 2.6

In August 2011, Linux entered its third decade. Ten years before, Chou e...

0 Nicolas Palix, et al. ∙

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