Du Tran | DeepAI

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Featured Co-authors

Yi Yang
329 publications
Jitendra Malik
139 publications
Yann LeCun
125 publications
Bernard Ghanem
120 publications
Jue Wang
107 publications
Deva Ramanan
104 publications
Arthur Szlam
73 publications
Leonid Sigal
73 publications
Manmohan Chandraker
72 publications
Lorenzo Torresani
61 publications
Yufei Wang
56 publications

∙ 06/16/2023

Learning Space-Time Semantic Correspondences

We propose a new task of space-time semantic correspondence prediction i...

0 Du Tran, et al. ∙

∙ 03/09/2023

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision

Many top-down architectures for instance segmentation achieve significan...

3 Tarun Kalluri, et al. ∙

∙ 02/16/2023

MINOTAUR: Multi-task Video Grounding From Multimodal Queries

Video understanding tasks take many forms, from action detection to visu...

0 Raghav Goyal, et al. ∙

∙ 04/12/2022

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

Open-world instance segmentation is the task of grouping pixels into obj...

2 Weiyao Wang, et al. ∙

∙ 06/17/2021

Long-Short Temporal Contrastive Learning of Video Transformers

Video transformers have recently emerged as a competitive alternative to...

0 Jue Wang, et al. ∙

∙ 04/10/2021

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Current state-of-the-art object detection and segmentation methods work ...

0 Weiyao Wang, et al. ∙

∙ 12/15/2020

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

A majority of approaches solve the problem of video frame interpolation ...

7 Tarun Kalluri, et al. ∙

∙ 11/28/2019

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

The visual and audio modalities are highly correlated yet they contain d...

25 Humam Alwassel, et al. ∙

∙ 06/10/2019

FASTER Recurrent Networks for Video Classification

Video classification methods often divide the video into short clips, do...

0 Linchao Zhu, et al. ∙

∙ 06/10/2019

UniDual: A Unified Model for Image and Video Understanding

Although a video is effectively a sequence of images, visual perception ...

4 Yufei Wang, et al. ∙

∙ 06/07/2019

Video Modeling with Correlation Networks

Motion is a salient cue to recognize actions in video. Modern action rec...

0 Heng Wang, et al. ∙

∙ 06/06/2019

Learning Temporal Pose Estimation from Sparsely-Labeled Videos

Modern approaches for multi-person pose estimation in video require larg...

0 Gedas Bertasius, et al. ∙

∙ 05/29/2019

What Makes Training Multi-Modal Networks Hard?

Consider end-to-end training of a multi-modal vs. a single-modal network...

0 Weiyao Wang, et al. ∙

∙ 05/02/2019

Large-scale weakly-supervised pre-training for video action recognition

Current fully-supervised video datasets consist of only a few hundred th...

0 Deepti Ghadiyaram, et al. ∙

∙ 04/08/2019

SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition

While many action recognition datasets consist of collections of brief, ...

0 Bruno Korbar, et al. ∙

∙ 04/04/2019

Video Classification with Channel-Separated Convolutional Networks

Group convolution has been shown to offer great computational savings in...

0 Du Tran, et al. ∙

∙ 01/26/2019

DistInit: Learning Video Representations without a Single Labeled Video

Video recognition models have progressed significantly over the past few...

0 Rohit Girdhar, et al. ∙

∙ 12/11/2018

Learning Discriminative Motion Features Through Detection

Despite huge success in the image domain, modern detection models such a...

0 Gedas Bertasius, et al. ∙

∙ 06/30/2018

Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization

There is a natural correlation between the visual and auditive elements ...

0 Bruno Korbar, et al. ∙

∙ 12/26/2017

Detect-and-Track: Efficient Pose Estimation in Videos

This paper addresses the problem of estimating and tracking human body k...

0 Rohit Girdhar, et al. ∙

∙ 11/30/2017

A Closer Look at Spatiotemporal Convolutions for Action Recognition

In this paper we discuss several forms of spatiotemporal convolutions fo...

0 Du Tran, et al. ∙

∙ 01/29/2017

Transformation-Based Models of Video Sequences

In this work we propose a simple unsupervised approach for next frame pr...

0 Joost van Amersfoort, et al. ∙

∙ 06/23/2016

VideoMCC: a New Benchmark for Video Comprehension

While there is overall agreement that future technology for organizing, ...

0 Du Tran, et al. ∙

∙ 12/02/2014

Learning Spatiotemporal Features with 3D Convolutional Networks

We propose a simple, yet effective approach for spatiotemporal feature l...

0 Du Tran, et al. ∙

∙ 12/20/2013

EXMOVES: Classifier-based Features for Scalable Action Recognition

This paper introduces EXMOVES, learned exemplar-based features for effic...

0 Du Tran, et al. ∙

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