b'Zheng-Jun Zha'

research

∙ 07/27/2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models

Prompt tuning and adapter tuning have shown great potential in transferr...

0 Kecheng Zheng, et al. ∙

research

∙ 07/26/2023

Adaptive Frequency Filters As Efficient Global Token Mixers

Recent vision transformers, large-kernel CNNs and MLPs have attained rem...

0 Zhipeng Huang, et al. ∙

research

∙ 07/20/2023

Deep Spiking-UNet for Image Processing

U-Net, known for its simple yet efficient architecture, is widely utiliz...

0 Hebei Li, et al. ∙

research

∙ 06/28/2023

Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection

The explosive growth of rumors with text and images on social media plat...

0 Jiawei Liu, et al. ∙

research

∙ 03/30/2023

Streaming Video Model

Video understanding tasks have traditionally been modeled by two separat...

0 Yucheng Zhao, et al. ∙

research

∙ 03/18/2023

Spatial-Aware Token for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is a challenging task aimin...

0 Pingyu Wu, et al. ∙

research

∙ 03/18/2023

Grounding 3D Object Affordance from 2D Interactions in Images

Grounding 3D object affordance seeks to locate objects' ”action possibil...

0 Yuhang Yang, et al. ∙

research

∙ 11/21/2022

Neural Dependencies Emerging from Learning Massive Categories

This work presents two astonishing findings on neural networks learned f...

0 Ruili Feng, et al. ∙

research

∙ 07/18/2022

Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Weakly supervised Referring Expression Grounding (REG) aims to ground a ...

0 Xuejing Liu, et al. ∙

research

∙ 07/15/2022

Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images

Low-light image enhancement is an inherently subjective process whose ta...

0 Naishan Zheng, et al. ∙

research

∙ 06/13/2022

Rank Diminishing in Deep Neural Networks

The rank of neural networks measures information flowing across layers. ...

8 Ruili Feng, et al. ∙

research

∙ 06/10/2022

Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection

Fake news spreads at an unprecedented speed, reaches global audiences an...

0 Jingyi Xie, et al. ∙

research

∙ 05/31/2022

Automatic Relation-aware Graph Network Proliferation

Graph neural architecture search has sparked much attention as Graph Neu...

0 Shaofei Cai, et al. ∙

research

∙ 05/21/2022

Principled Knowledge Extrapolation with GANs

Human can extrapolate well, generalize daily knowledge into unseen scena...

0 Ruili Feng, et al. ∙

research

∙ 04/04/2022

Degradation-agnostic Correspondence from Resolution-asymmetric Stereo

In this paper, we study the problem of stereo matching from a pair of im...

0 Xihao Chen, et al. ∙

research

∙ 04/02/2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency

In recent years, creative content generations like style transfer and ne...

0 Zhenhuan Liu, et al. ∙

research

∙ 03/24/2022

FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization

MLP-like models built entirely upon multi-layer perceptrons have recentl...

7 Kecheng Zheng, et al. ∙

research

∙ 03/18/2022

Location-Free Camouflage Generation Network

Camouflage is a common visual phenomenon, which refers to hiding the for...

2 Yangyang Li, et al. ∙

research

∙ 03/12/2022

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

Non-exemplar class-incremental learning is to recognize both the old and...

2 Kai Zhu, et al. ∙

research

∙ 03/06/2022

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

Training a generative adversarial network (GAN) with limited data has be...

0 Jiayu Xiao, et al. ∙

research

∙ 03/03/2022

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification

RGB-infrared person re-identification is an emerging cross-modality re-i...

0 Zhipeng Huang, et al. ∙

research

∙ 03/03/2022

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification

Generalizable person re-identification aims to learn a model with only s...

0 Jiawei Liu, et al. ∙

research

∙ 12/13/2021

Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation

Unsupervised domain adaptive person re-identification (ReID) has been ex...

10 Zhipeng Huang, et al. ∙

research

∙ 11/27/2021

Calibrated Feature Decomposition for Generalizable Person Re-Identification

Existing disentangled-based methods for generalizable person re-identifi...

4 Kecheng Zheng, et al. ∙

research

∙ 09/03/2021

Edge-featured Graph Neural Architecture Search

Graph neural networks (GNNs) have been successfully applied to learning ...

0 Shaofei Cai, et al. ∙

research

∙ 08/30/2021

A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP

Convolutional neural networks (CNN) are the dominant deep neural network...

0 Yucheng Zhao, et al. ∙

research

∙ 08/26/2021

Multi-Modulation Network for Audio-Visual Event Localization

We study the problem of localizing audio-visual events that are both aud...

15 Hao Wang, et al. ∙

research

∙ 08/18/2021

Self-Supervised Visual Representations Learning by Contrastive Mask Prediction

Advanced self-supervised visual representation learning methods rely on ...

12 Yucheng Zhao, et al. ∙

research

∙ 08/18/2021

Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

An important scenario for image quality assessment (IQA) is to evaluate ...

0 Heliang Zheng, et al. ∙

research

∙ 07/31/2021

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims to match person images wit...

8 Kecheng Zheng, et al. ∙

research

∙ 07/27/2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

Detection transformers have recently shown promising object detection re...

0 Wen Wang, et al. ∙

research

∙ 07/19/2021

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning

Few-shot class-incremental learning is to recognize the new classes give...

0 Kai Zhu, et al. ∙

research

∙ 05/07/2021

Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification

Although existing person re-identification (Re-ID) methods have shown im...

0 Jiawei Liu, et al. ∙

research

∙ 04/15/2021

Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos

Video-based person re-identification aims to match pedestrians from vide...

0 Jiawei Liu, et al. ∙

research

∙ 03/29/2021

Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval

Cross-modal video-text retrieval, a challenging task in the field of vis...

0 Rui Zhao, et al. ∙

research

∙ 03/26/2021

Rethinking Graph Neural Network Search from Message-passing

Graph neural networks (GNNs) emerged recently as a standard toolkit for ...

0 Shaofei Cai, et al. ∙

research

∙ 03/23/2021

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...

0 Kecheng Zheng, et al. ∙

research

∙ 02/24/2021

Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting

The capability of image semantic segmentation may be deteriorated due to...

0 Shunxin Xu, et al. ∙

research

∙ 02/03/2021

General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework

This paper presents a self-supervised learning framework, named MGF, for...

0 Yucheng Zhao, et al. ∙

research

∙ 01/28/2021

VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild

Predicting future frames of video sequences is challenging due to the co...

2 Yizhou Zhou, et al. ∙

research

∙ 12/16/2020

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Many unsupervised domain adaptive (UDA) person re-identification (ReID) ...

0 Kecheng Zheng, et al. ∙

research

∙ 09/09/2020

Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification

Video-based person re-identification aims to match a specific pedestrian...

2 Jiawei Liu, et al. ∙

research

∙ 08/31/2020

DeepFacePencil: Creating Face Images from Freehand Sketches

In this paper, we explore the task of generating photo-realistic face im...

0 Yuhang Li, et al. ∙

research

∙ 08/10/2020

Nighttime Dehazing with a Synthetic Benchmark

Increasing the visibility of nighttime hazy images is challenging becaus...

11 Jing Zhang, et al. ∙

research

∙ 07/17/2020

Learning to Discretely Compose Reasoning Module Networks for Video Captioning

Generating natural language descriptions for videos, i.e., video caption...

9 Ganchao Tan, et al. ∙

research

∙ 04/12/2020

Self-Supervised Tuning for Few-Shot Segmentation

Few-shot segmentation aims at assigning a category label to each image p...

13 Kai Zhu, et al. ∙

research

∙ 04/10/2020

Spatiotemporal Fusion in 3D CNNs: A Probabilistic View

Despite the success in still image recognition, deep neural networks for...

0 Yizhou Zhou, et al. ∙

research

∙ 04/10/2020

Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos

Person re-identification aims at identifying a certain pedestrian across...

0 Jiawei Liu, et al. ∙

research

∙ 04/10/2020

Stacked Convolutional Deep Encoding Network for Video-Text Retrieval

Existing dominant approaches for cross-modal video-text retrieval task a...

0 Rui Zhao, et al. ∙

research

∙ 04/10/2020

State-Relabeling Adversarial Active Learning

Active learning is to design label-efficient algorithms by sampling the ...

0 Beichen Zhang, et al. ∙

Zheng-Jun Zha

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