b'Fangyun Wei'

research

∙ 03/22/2023

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

This work focuses on sign language retrieval-a recently proposed task fo...

0 Yiting Cheng, et al. ∙

research

∙ 03/21/2023

Natural Language-Assisted Sign Language Recognition

Sign languages are visual languages which convey information by signers'...

0 Ronglai Zuo, et al. ∙

research

∙ 03/15/2023

DeepMIM: Deep Supervision for Masked Image Modeling

Deep supervision, which involves extra supervisions to the intermediate ...

0 Sucheng Ren, et al. ∙

research

∙ 02/23/2023

Side Adapter Network for Open-Vocabulary Semantic Segmentation

This paper presents a new framework for open-vocabulary semantic segment...

0 Mengde Xu, et al. ∙

research

∙ 01/03/2023

TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models

Masked image modeling (MIM) performs strongly in pre-training large visi...

0 Sucheng Ren, et al. ∙

research

∙ 12/16/2022

Attentive Mask CLIP

Image token removal is an efficient augmentation strategy for reducing t...

0 Yifan Yang, et al. ∙

research

∙ 11/02/2022

Two-Stream Network for Sign Language Recognition and Translation

Sign languages are visual languages using manual articulations and non-m...

0 Yutong Chen, et al. ∙

research

∙ 07/18/2022

Conditional DETR V2: Efficient Detection Transformer with Box Queries

In this paper, we are interested in Detection Transformer (DETR), an end...

0 Xiaokang Chen, et al. ∙

research

∙ 07/08/2022

Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations

Zero-shot learning (ZSL) aims to recognize classes that do not have samp...

0 Yu Du, et al. ∙

research

∙ 04/07/2022

Unsupervised Prompt Learning for Vision-Language Models

Contrastive vision-language models like CLIP have shown great progress i...

4 Tony Huang, et al. ∙

research

∙ 03/28/2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning

Prior works on action representation learning mainly focus on designing ...

2 Minghao Chen, et al. ∙

research

∙ 03/28/2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

Recently, vision-language pre-training shows great potential in open-voc...

0 Yu Du, et al. ∙

research

∙ 03/08/2022

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

This paper proposes a simple transfer learning baseline for sign languag...

0 Yutong Chen, et al. ∙

research

∙ 12/29/2021

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model

Recently, zero-shot image classification by vision-language pre-training...

10 Mengde Xu, et al. ∙

research

∙ 12/17/2021

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Semi-supervised action recognition is a challenging but important task d...

15 Yinghao Xu, et al. ∙

research

∙ 11/22/2021

Towards Tokenized Human Dynamics Representation

For human action understanding, a popular research direction is to analy...

0 Kenneth Li, et al. ∙

research

∙ 11/04/2021

Bootstrap Your Object Detector via Mixed Training

We introduce MixTraining, a new training paradigm for object detection t...

29 Mengde Xu, et al. ∙

research

∙ 10/11/2021

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning

Due to the limited and even imbalanced data, semi-supervised semantic se...

0 Hanzhe Hu, et al. ∙

research

∙ 09/13/2021

ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment

The recent progress of CNN has dramatically improved face alignment perf...

0 Yangyu Huang, et al. ∙

research

∙ 08/13/2021

Dual Path Learning for Domain Adaptation of Semantic Segmentation

Domain adaptation for semantic segmentation enables to alleviate the nee...

5 Yiting Cheng, et al. ∙

research

∙ 06/16/2021

End-to-End Semi-Supervised Object Detection with Soft Teacher

This paper presents an end-to-end semi-supervised object detection appro...

0 Mengde Xu, et al. ∙

research

∙ 06/04/2021

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Image-level contrastive representation learning has proven to be highly ...

0 Fangyun Wei, et al. ∙

research

∙ 03/29/2021

High-Fidelity and Arbitrary Face Editing

Cycle consistency is widely used for face editing. However, we observe t...

9 Yue Gao, et al. ∙

research

∙ 12/24/2020

Global Context Networks

The Non-Local Network (NLNet) presents a pioneering approach for capturi...

11 Yue Cao, et al. ∙

research

∙ 10/29/2020

RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder

Existing object detection frameworks are usually built on a single forma...

0 Cheng Chi, et al. ∙

research

∙ 10/22/2020

Restoring Negative Information in Few-Shot Object Detection

Few-shot learning has recently emerged as a new challenge in the deep le...

0 Yukuan Yang, et al. ∙

research

∙ 07/06/2020

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

A recent approach for object detection and human pose estimation is to r...

0 Fangyun Wei, et al. ∙

research

∙ 11/30/2019

Design and Interpretation of Universal Adversarial Patches in Face Detection

We consider universal adversarial patches for faces - small visual eleme...

0 Xiao Yang, et al. ∙

research

∙ 04/25/2019

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

The Non-Local Network (NLNet) presents a pioneering approach for capturi...

0 Yue Cao, et al. ∙

research

∙ 02/19/2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...

6 Chen Change Loy, et al. ∙

Fangyun Wei

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