Ming-Ming Cheng

research

∙ 09/18/2023

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

We present DFormer, a novel RGB-D pretraining framework to learn transfe...

0 Bowen Yin, et al. ∙

research

∙ 08/24/2023

Masked Autoencoders are Efficient Class Incremental Learners

Class Incremental Learning (CIL) aims to sequentially learn new classes ...

0 Jiang-Tian Zhai, et al. ∙

research

∙ 08/10/2023

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

We aim at providing the object detection community with an efficient and...

0 Yuming Chen, et al. ∙

research

∙ 07/06/2023

Revisiting Computer-Aided Tuberculosis Diagnosis

Tuberculosis (TB) is a major global health threat, causing millions of d...

0 Yun Liu, et al. ∙

research

∙ 06/13/2023

Referring Camouflaged Object Detection

In this paper, we consider the problem of referring camouflaged object d...

0 Xuying Zhang, et al. ∙

research

∙ 06/07/2023

CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation

In this paper, we present a simple but performant semi-supervised semant...

0 Boyuan Sun, et al. ∙

research

∙ 05/24/2023

Delving Deeper into Data Scaling in Masked Image Modeling

Understanding whether self-supervised learning methods can scale with un...

0 Cheng-Ze Lu, et al. ∙

research

∙ 05/07/2023

Multi-Space Neural Radiance Fields

Existing Neural Radiance Fields (NeRF) methods suffer from the existence...

0 Ze-Xin Yin, et al. ∙

research

∙ 04/21/2023

Advances in Deep Concealed Scene Understanding

Concealed scene understanding (CSU) is a hot computer vision topic aimin...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/19/2023

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

We present All-Pairs Multi-Field Transforms (AMT), a new network archite...

0 Zhen Li, et al. ∙

research

∙ 04/18/2023

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Neural implicit methods have achieved high-quality 3D object surfaces un...

0 Jiaxiong Qiu, et al. ∙

research

∙ 04/12/2023

SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"

Segmenting anything is a ground-breaking step toward artificial general ...

0 Ge-Peng Ji, et al. ∙

research

∙ 03/25/2023

Masked Diffusion Transformer is a Strong Image Synthesizer

Despite its success in image synthesis, we observe that diffusion probab...

0 Shanghua Gao, et al. ∙

research

∙ 03/17/2023

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

Previous works have shown that increasing the window size for Transforme...

0 Yupeng Zhou, et al. ∙

research

∙ 03/14/2023

Co-Salient Object Detection with Co-Representation Purification

Co-salient object detection (Co-SOD) aims at discovering the common obje...

0 Ziyue Zhu, et al. ∙

research

∙ 03/06/2023

Traffic Scene Parsing through the TSP6K Dataset

Traffic scene parsing is one of the most important tasks to achieve inte...

0 Peng-Tao Jiang, et al. ∙

research

∙ 01/15/2023

CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition

Contrastive Masked Autoencoder (CMAE), as a new self-supervised framewor...

0 Cheng-Ze Lu, et al. ∙

research

∙ 12/16/2022

Robust Saliency Guidance for Data-free Class Incremental Learning

Data-Free Class Incremental Learning (DFCIL) aims to sequentially learn ...

0 Xialei Liu, et al. ∙

research

∙ 11/28/2022

SLAN: Self-Locator Aided Network for Cross-Modal Understanding

Learning fine-grained interplay between vision and language allows to a ...

0 Jiang-Tian Zhai, et al. ∙

research

∙ 11/22/2022

Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition

This paper does not attempt to design a state-of-the-art method for visu...

0 Qibin Hou, et al. ∙

research

∙ 10/20/2022

Towards Sustainable Self-supervised Learning

Although increasingly training-expensive, most self-supervised learning ...

0 Shanghua Gao, et al. ∙

research

∙ 10/01/2022

Long-Tailed Class Incremental Learning

In class incremental learning (CIL) a model must learn new classes in a ...

0 Xialei Liu, et al. ∙

research

∙ 08/18/2022

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes

Current efficient LiDAR-based detection frameworks are lacking in exploi...

0 Yu-Huan Wu, et al. ∙

research

∙ 07/27/2022

Contrastive Masked Autoencoders are Stronger Vision Learners

Masked image modeling (MIM) has achieved promising results on various vi...

0 Zhicheng Huang, et al. ∙

research

∙ 07/21/2022

Designing An Illumination-Aware Network for Deep Image Relighting

Lighting is a determining factor in photography that affects the style, ...

0 Zuo-Liang Zhu, et al. ∙

research

∙ 07/05/2022

Class-Specific Semantic Reconstruction for Open Set Recognition

Open set recognition enables deep neural networks (DNNs) to identify sam...

0 Hongzhi Huang, et al. ∙

research

∙ 06/10/2022

Exploring Feature Self-relation for Self-supervised Transformer

Learning representations with self-supervision for convolutional network...

0 Zhong-Yu Li, et al. ∙

research

∙ 05/13/2022

VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

Although generative facial prior and geometric prior have recently demon...

0 Yuchao Gu, et al. ∙

research

∙ 04/06/2022

Towards An End-to-End Framework for Flow-Guided Video Inpainting

Optical flow, which captures motion information across frames, is exploi...

5 Zhen Li, et al. ∙

research

∙ 03/25/2022

Interactive Style Transfer: All is Your Palette

Neural style transfer (NST) can create impressive artworks by transferri...

0 Zheng Lin, et al. ∙

research

∙ 03/10/2022

Representation Compensation Networks for Continual Semantic Segmentation

In this work, we study the continual semantic segmentation problem, wher...

0 Chang-Bin Zhang, et al. ∙

research

∙ 07/24/2021

Personalized Image Semantic Segmentation

Semantic segmentation models trained on public datasets have achieved gr...

0 Yu Zhang, et al. ∙

research

∙ 06/23/2021

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

In this paper, we present Vision Permutator, a conceptually simple and d...

0 Qibin Hou, et al. ∙

research

∙ 06/22/2021

P2T: Pyramid Pooling Transformer for Scene Understanding

This paper jointly resolves two problems in vision transformer: i) the c...

0 Yu-Huan Wu, et al. ∙

research

∙ 06/08/2021

Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight

Vision Transformer (ViT) attains state-of-the-art performance in visual ...

0 Qi Han, et al. ∙

research

∙ 05/25/2021

Unsupervised Scale-consistent Depth Learning from Video

We propose a monocular depth estimator SC-Depth, which requires only unl...

17 Jia-Wang Bian, et al. ∙

research

∙ 05/07/2021

Salient Objects in Clutter

This paper identifies and addresses a serious design bias of existing sa...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/21/2021

Lighting the Darkness in the Deep Learning Era

Low-light image enhancement (LLIE) aims at improving the perception or i...

15 Chongyi Li, et al. ∙

research

∙ 04/21/2021

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

Space-time video super-resolution (STVSR) aims to increase the spatial a...

0 Gang Xu, et al. ∙

research

∙ 02/20/2021

Concealed Object Detection

We present the first systematic study on concealed object detection (COD...

0 Deng-Ping Fan, et al. ∙

research

∙ 01/04/2021

Global2Local: Efficient Structure Search for Video Action Segmentation

Temporal receptive fields of models play an important role in action seg...

0 Shang-Hua Gao, et al. ∙

research

∙ 12/24/2020

MobileSal: Extremely Efficient RGB-D Salient Object Detection

The high computational cost of neural networks has prevented recent succ...

13 Yu-Huan Wu, et al. ∙

research

∙ 12/24/2020

EDN: Salient Object Detection via Extremely-Downsampled Network

Recent progress on salient object detection (SOD) mainly benefits from m...

0 Yu-Huan Wu, et al. ∙

research

∙ 12/21/2020

Centralized Information Interaction for Salient Object Detection

The U-shape structure has shown its advantage in salient object detectio...

6 Jiang-Jiang Liu, et al. ∙

research

∙ 11/26/2020

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Despite the remarkable advances in visual saliency analysis for natural ...

0 Qijian Zhang, et al. ∙

research

∙ 11/25/2020

Delving Deep into Label Smoothing

Label smoothing is an effective regularization tool for deep neural netw...

0 Chang-Bin Zhang, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

research

∙ 10/02/2020

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search

Differentiable Architecture Search (DARTS) has attracted extensive atten...

5 Yu-Chao Gu, et al. ∙

research

∙ 09/01/2020

Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow

Generalized zero-shot learning (GZSL) aims to recognize both seen and un...

10 Yu-Chao Gu, et al. ∙

research

∙ 08/28/2020

Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

Much of the recent efforts on salient object detection (SOD) has been de...

15 Yu-Huan Wu, et al. ∙

Ming-Ming Cheng

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