b'Rongrong Ji'

research

∙ 06/05/2023

STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection

Recently, deep learning-based facial landmark detection has achieved sig...

0 Zhenglin Zhou, et al. ∙

research

∙ 06/01/2023

Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting

Pre-trained language models (PLMs) have played an increasing role in mul...

0 Shubin Huang, et al. ∙

research

∙ 05/29/2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers

Token compression aims to speed up large-scale vision transformers (e.g....

0 Mengzhao Chen, et al. ∙

research

∙ 05/29/2023

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

Camouflaged Object Detection (COD) is a challenging task in computer vis...

0 Zhongxi Chen, et al. ∙

research

∙ 05/28/2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring

Refactoring is an indispensable practice of improving the quality and ma...

0 Hao Liu, et al. ∙

research

∙ 05/24/2023

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models

Recently, growing interest has been aroused in extending the multimodal ...

0 Gen Luo, et al. ∙

research

∙ 05/14/2023

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization

Arbitrary bit-width network quantization has received significant attent...

0 Yunshan Zhong, et al. ∙

research

∙ 05/10/2023

Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks

This paper introduces Distribution-Flexible Subset Quantization (DFSQ), ...

0 Yunshan Zhong, et al. ∙

research

∙ 04/06/2023

InterFormer: Real-time Interactive Image Segmentation

Interactive image segmentation enables annotators to efficiently perform...

0 You Huang, et al. ∙

research

∙ 03/29/2023

Latent Feature Relation Consistency for Adversarial Robustness

Deep neural networks have been applied in many computer vision tasks and...

0 Xingbin Liu, et al. ∙

research

∙ 03/28/2023

X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance

Text-driven 3D stylization is a complex and crucial task in the fields o...

0 Yiwei Ma, et al. ∙

research

∙ 03/27/2023

CAT:Collaborative Adversarial Training

Adversarial training can improve the robustness of neural networks. Prev...

0 Xingbin Liu, et al. ∙

research

∙ 03/26/2023

You Only Segment Once: Towards Real-Time Panoptic Segmentation

In this paper, we propose YOSO, a real-time panoptic segmentation framew...

0 Jie Hu, et al. ∙

research

∙ 03/20/2023

Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification

Occluded person re-identification (Re-ID) aims to address the potential ...

0 Jiaer Xia, et al. ∙

research

∙ 03/15/2023

Active Teacher for Semi-Supervised Object Detection

In this paper, we study teacher-student learning from the perspective of...

0 Peng Mi, et al. ∙

research

∙ 02/22/2023

Towards End-to-end Semi-supervised Learning for One-stage Object Detection

Semi-supervised object detection (SSOD) is a research hot spot in comput...

0 Gen Luo, et al. ∙

research

∙ 02/16/2023

Towards Efficient Visual Adaption via Structural Re-parameterization

Parameter-efficient transfer learning (PETL) is an emerging research spo...

0 Gen Luo, et al. ∙

research

∙ 02/13/2023

Towards Local Visual Modeling for Image Captioning

In this paper, we study the local visual modeling with grid features for...

0 Yiwei Ma, et al. ∙

research

∙ 02/13/2023

Bi-directional Masks for Efficient N:M Sparse Training

We focus on addressing the dense backward propagation issue for training...

0 Yuxin Zhang, et al. ∙

research

∙ 02/03/2023

Spectral Aware Softmax for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) aims to match specif...

0 Lei Tan, et al. ∙

research

∙ 02/02/2023

Exploring Invariant Representation for Visible-Infrared Person Re-Identification

Cross-spectral person re-identification, which aims to associate identit...

0 Lei Tan, et al. ∙

research

∙ 01/29/2023

Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning

Unsupervised domain adaptation person re-identification (Re-ID) aims to ...

0 Qiong Wu, et al. ∙

research

∙ 12/29/2022

Discriminator-Cooperated Feature Map Distillation for GAN Compression

Despite excellent performance in image generation, Generative Adversaria...

0 Tie Hu, et al. ∙

research

∙ 12/26/2022

SMMix: Self-Motivated Image Mixing for Vision Transformers

CutMix is a vital augmentation strategy that determines the performance ...

0 Mengzhao Chen, et al. ∙

research

∙ 12/21/2022

Exploring Content Relationships for Distilling Efficient GANs

This paper proposes a content relationship distillation (CRD) to tackle ...

0 Lizhou You, et al. ∙

research

∙ 12/08/2022

Shadow Removal by High-Quality Shadow Synthesis

Most shadow removal methods rely on the invasion of training images asso...

0 Yunshan Zhong, et al. ∙

research

∙ 12/06/2022

Self-supervised Graph Representation Learning for Black Market Account Detection

Nowadays, Multi-purpose Messaging Mobile App (MMMA) has become increasin...

0 Zequan Xu, et al. ∙

research

∙ 11/26/2022

Meta Architecure for Point Cloud Analysis

Recent advances in 3D point cloud analysis bring a diverse set of networ...

0 Haojia Lin, et al. ∙

research

∙ 11/12/2022

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training

Quantization-aware training (QAT) receives extensive popularity as it we...

0 Yunshan Zhong, et al. ∙

research

∙ 10/11/2022

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

Deep neural networks often suffer from poor generalization caused by com...

0 Peng Mi, et al. ∙

research

∙ 09/25/2022

ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement

Modeling sparse and dense image matching within a unified functional cor...

5 Dongli Tan, et al. ∙

research

∙ 09/08/2022

Exploring Target Representations for Masked Autoencoders

Masked autoencoders have become popular training paradigms for self-supe...

0 Xingbin Liu, et al. ∙

research

∙ 08/27/2022

LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal

This paper focuses on the limitations of current over-parameterized shad...

0 Hong Yang, et al. ∙

research

∙ 08/21/2022

CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a task of matchin...

0 Qiong Wu, et al. ∙

research

∙ 07/19/2022

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

GAN inversion aims to invert an input image into the latent space of a p...

0 Xudong Mao, et al. ∙

research

∙ 07/19/2022

Dynamic Prototype Mask for Occluded Person Re-Identification

Although person re-identification has achieved an impressive improvement...

0 Lei Tan, et al. ∙

research

∙ 07/16/2022

Clover: Towards A Unified Video-Language Alignment and Fusion Model

Building a universal video-language model for solving various video unde...

0 Jingjia Huang, et al. ∙

research

∙ 07/15/2022

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

Face recognition technology has been used in many fields due to its high...

0 Jiazhen Ji, et al. ∙

research

∙ 07/15/2022

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval

Video-text retrieval has been a crucial and fundamental task in multi-mo...

0 Yiwei Ma, et al. ∙

research

∙ 06/14/2022

Learning Best Combination for Efficient N:M Sparsity

By forcing at most N out of M consecutive weights to be non-zero, the re...

0 Yuxin Zhang, et al. ∙

research

∙ 05/23/2022

Super Vision Transformer

We attempt to reduce the computational costs in vision transformers (ViT...

0 Mingbao Lin, et al. ∙

research

∙ 05/10/2022

Shadow-Aware Dynamic Convolution for Shadow Removal

With a wide range of shadows in many collected images, shadow removal ha...

0 Yimin Xu, et al. ∙

research

∙ 04/28/2022

A Closer Look at Branch Classifiers of Multi-exit Architectures

Multi-exit architectures consist of a backbone and branch classifiers th...

15 Shaohui Lin, et al. ∙

research

∙ 04/17/2022

What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study

Most of the existing work in one-stage referring expression comprehensio...

0 Gen Luo, et al. ∙

research

∙ 04/16/2022

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Despite the exciting performance, Transformer is criticized for its exce...

0 Gen Luo, et al. ∙

research

∙ 04/02/2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

Pixel synthesis is a promising research paradigm for image generation, w...

10 Jing He, et al. ∙

research

∙ 03/30/2022

SeqTR: A Simple yet Universal Network for Visual Grounding

In this paper, we propose a simple yet universal network termed SeqTR fo...

4 Chaoyang Zhu, et al. ∙

research

∙ 03/23/2022

Training-free Transformer Architecture Search

Recently, Vision Transformer (ViT) has achieved remarkable success in se...

30 Qinqin Zhou, et al. ∙

research

∙ 03/21/2022

ARM: Any-Time Super-Resolution Method

This paper proposes an Any-time super-Resolution Method (ARM) to tackle ...

0 Bohong Chen, et al. ∙

research

∙ 03/13/2022

Global2Local: A Joint-Hierarchical Attention for Video Captioning

Recently, automatic video captioning has attracted increasing attention,...

0 Chengpeng Dai, et al. ∙

Rongrong Ji

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