b'Linchao Zhu'

research

∙ 05/29/2023

Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models

Misalignment between the outputs of a vision-language (VL) model and tas...

0 Shuai Zhao, et al. ∙

research

∙ 05/28/2023

Whitening-based Contrastive Learning of Sentence Embeddings

This paper presents a whitening-based contrastive learning method for se...

0 Wenjie Zhuo, et al. ∙

research

∙ 05/23/2023

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

Pre-trained vision-language models are the de-facto foundation models fo...

0 Shuai Zhao, et al. ∙

research

∙ 05/22/2023

Gloss-Free End-to-End Sign Language Translation

In this paper, we tackle the problem of sign language translation (SLT) ...

0 Kezhou Lin, et al. ∙

research

∙ 04/13/2023

Efficient Multimodal Fusion via Interactive Prompting

Large-scale pre-training has brought unimodal fields such as computer vi...

0 Yaowei Li, et al. ∙

research

∙ 03/06/2023

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate stro...

0 Wei Li, et al. ∙

research

∙ 01/22/2023

Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding

Temporal grounding is the task of locating a specific segment from an un...

0 Juncheng Li, et al. ∙

research

∙ 01/18/2023

Temporal Perceiving Video-Language Pre-training

Video-Language Pre-training models have recently significantly improved ...

0 Fan Ma, et al. ∙

research

∙ 01/01/2023

Discriminative Radial Domain Adaptation

Domain adaptation methods reduce domain shift typically by learning doma...

0 Zenan Huang, et al. ∙

research

∙ 12/19/2022

MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering

To build Video Question Answering (VideoQA) systems capable of assisting...

0 Difei Gao, et al. ∙

research

∙ 09/30/2022

Slimmable Networks for Contrastive Self-supervised Learning

Self-supervised learning makes great progress in large model pre-trainin...

57 Shuai Zhao, et al. ∙

research

∙ 08/06/2022

AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement

Existing 3D skeleton-based action recognition approaches reach impressiv...

0 Shannan Guan, et al. ∙

research

∙ 08/04/2022

Fine-Grained Semantically Aligned Vision-Language Pre-Training

Large-scale vision-language pre-training has shown impressive advances i...

2 Juncheng Li, et al. ∙

research

∙ 08/03/2022

Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos

Understanding human emotions is a crucial ability for intelligent robots...

2 Juncheng Li, et al. ∙

research

∙ 07/07/2022

PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning

3D pose estimation has recently gained substantial interests in computer...

0 Shannan Guan, et al. ∙

research

∙ 05/02/2022

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

Recently, large-scale pre-training methods like CLIP have made great pro...

3 Shuai Zhao, et al. ∙

research

∙ 03/29/2022

Unified Transformer Tracker for Object Tracking

As an important area in computer vision, object tracking has formed two ...

22 Fan Ma, et al. ∙

research

∙ 03/24/2022

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

Temporal grounding in videos aims to localize one target video segment t...

6 Juncheng Li, et al. ∙

research

∙ 08/15/2021

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

To improve the generalization of detectors, for domain adaptive object d...

0 Aming Wu, et al. ∙

research

∙ 07/26/2021

Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference

Video-and-Language Inference is a recently proposed task for joint video...

0 Juncheng Li, et al. ∙

research

∙ 06/03/2021

Less is More: Sparse Sampling for Dense Reaction Predictions

Obtaining viewer responses from videos can be useful for creators and st...

14 Kezhou Lin, et al. ∙

research

∙ 04/30/2021

Faster Meta Update Strategy for Noise-Robust Deep Learning

It has been shown that deep neural networks are prone to overfitting on ...

0 Youjiang Xu, et al. ∙

research

∙ 04/20/2021

T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval

Text-video retrieval is a challenging task that aims to search relevant ...

0 Xiaohan Wang, et al. ∙

research

∙ 03/01/2021

Universal-Prototype Augmentation for Few-Shot Object Detection

Few-shot object detection (FSOD) aims to strengthen the performance of n...

0 Aming Wu, et al. ∙

research

∙ 01/13/2021

Learning to Anticipate Egocentric Actions by Imagination

Anticipating actions before they are executed is crucial for a wide rang...

0 Yu Wu, et al. ∙

research

∙ 12/30/2020

SemGloVe: Semantic Co-occurrences for GloVe from BERT

GloVe learns word embeddings by leveraging statistical information from ...

0 Leilei Gan, et al. ∙

research

∙ 11/14/2020

ActBERT: Learning Global-Local Video-Text Representations

In this paper, we introduce ActBERT for self-supervised learning of join...

0 Linchao Zhu, et al. ∙

research

∙ 05/25/2020

Feature Robust Optimal Transport for High-dimensional Data

Optimal transport is a machine learning technique with applications incl...

13 Mathis Petrovich, et al. ∙

research

∙ 04/12/2020

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World

In this paper, we tackle the problem of discovering new classes in unlab...

0 Zhun Zhong, et al. ∙

research

∙ 03/17/2020

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior

Deep neural networks are known to be susceptible to adversarial noise, w...

0 Hu Zhang, et al. ∙

research

∙ 03/15/2020

SF-Net: Single-Frame Supervision for Temporal Action Localization

In this paper, we study an intermediate form of supervision, i.e., singl...

7 Fan Ma, et al. ∙

research

∙ 02/08/2020

Symbiotic Attention with Privileged Information for Egocentric Action Recognition

Egocentric video recognition is a natural testbed for diverse interactio...

0 Xiaohan Wang, et al. ∙

research

∙ 11/20/2019

Instance-Invariant Adaptive Object Detection via Progressive Disentanglement

Most state-of-the-art methods of object detection suffer from poor gener...

11 Aming Wu, et al. ∙

research

∙ 09/25/2019

Gated Channel Transformation for Visual Recognition

In this work, we propose a generally applicable transformation unit for ...

0 Zongxin Yang, et al. ∙

research

∙ 08/29/2019

Learning to Transfer Learn

We propose a novel framework, learning to transfer learn (L2TL), to impr...

10 Linchao Zhu, et al. ∙

research

∙ 06/22/2019

Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019

In this report, we present the Baidu-UTS submission to the EPIC-Kitchens...

0 Xiaohan Wang, et al. ∙

research

∙ 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. ∙

research

∙ 04/20/2019

Cubic LSTMs for Video Prediction

Predicting future frames in videos has become a promising direction of r...

14 Hehe Fan, et al. ∙

research

∙ 04/08/2019

Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks

Existing methods usually utilize pre-defined criterions, such as p-norm,...

0 Yang He, et al. ∙

research

∙ 04/08/2019

Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

There has been an increasing interest in 3D indoor navigation, where a r...

0 Fengda Zhu, et al. ∙

research

∙ 03/23/2019

Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification

Prevailing deep convolutional neural networks (CNNs) for person re-IDent...

0 Ruijie Quan, et al. ∙

research

∙ 08/27/2018

Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions

We propose a novel attentive sequence to sequence translator (ASST) for ...

0 Ke Ning, et al. ∙

research

∙ 04/11/2018

Decoupled Novel Object Captioner

Image captioning is a challenging task where the machine automatically d...

0 Yu Wu, et al. ∙

research

∙ 07/13/2017

UTS submission to Google YouTube-8M Challenge 2017

In this paper, we present our solution to Google YouTube-8M Video Classi...

0 Linchao Zhu, et al. ∙

research

∙ 12/19/2016

Few-Shot Object Recognition from Machine-Labeled Web Images

With the tremendous advances of Convolutional Neural Networks (ConvNets)...

0 Zhongwen Xu, et al. ∙

research

∙ 11/28/2016

Bidirectional Multirate Reconstruction for Temporal Modeling in Videos

Despite the recent success of neural networks in image feature learning,...

0 Linchao Zhu, et al. ∙

Linchao Zhu

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