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09/18/2023
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
We present DFormer, a novel RGB-D pretraining framework to learn transfe...
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08/24/2023
Masked Autoencoders are Efficient Class Incremental Learners
Class Incremental Learning (CIL) aims to sequentially learn new classes ...
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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...
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07/06/2023
Revisiting Computer-Aided Tuberculosis Diagnosis
Tuberculosis (TB) is a major global health threat, causing millions of d...
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06/13/2023
Referring Camouflaged Object Detection
In this paper, we consider the problem of referring camouflaged object d...
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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...
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05/24/2023
Delving Deeper into Data Scaling in Masked Image Modeling
Understanding whether self-supervised learning methods can scale with un...
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05/07/2023
Multi-Space Neural Radiance Fields
Existing Neural Radiance Fields (NeRF) methods suffer from the existence...
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04/21/2023
Advances in Deep Concealed Scene Understanding
Concealed scene understanding (CSU) is a hot computer vision topic aimin...
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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...
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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...
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04/12/2023
SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"
Segmenting anything is a ground-breaking step toward artificial general ...
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03/25/2023
Masked Diffusion Transformer is a Strong Image Synthesizer
Despite its success in image synthesis, we observe that diffusion probab...
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03/17/2023
SRFormer: Permuted Self-Attention for Single Image Super-Resolution
Previous works have shown that increasing the window size for Transforme...
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03/14/2023
Co-Salient Object Detection with Co-Representation Purification
Co-salient object detection (Co-SOD) aims at discovering the common obje...
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03/06/2023
Traffic Scene Parsing through the TSP6K Dataset
Traffic scene parsing is one of the most important tasks to achieve inte...
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01/15/2023
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition
Contrastive Masked Autoencoder (CMAE), as a new self-supervised framewor...
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12/16/2022
Robust Saliency Guidance for Data-free Class Incremental Learning
Data-Free Class Incremental Learning (DFCIL) aims to sequentially learn ...
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11/28/2022
SLAN: Self-Locator Aided Network for Cross-Modal Understanding
Learning fine-grained interplay between vision and language allows to a ...
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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...
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10/20/2022
Towards Sustainable Self-supervised Learning
Although increasingly training-expensive, most self-supervised learning ...
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10/01/2022
Long-Tailed Class Incremental Learning
In class incremental learning (CIL) a model must learn new classes in a ...
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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...
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07/27/2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Masked image modeling (MIM) has achieved promising results on various vi...
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07/21/2022
Designing An Illumination-Aware Network for Deep Image Relighting
Lighting is a determining factor in photography that affects the style, ...
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07/05/2022
Class-Specific Semantic Reconstruction for Open Set Recognition
Open set recognition enables deep neural networks (DNNs) to identify sam...
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06/10/2022
Exploring Feature Self-relation for Self-supervised Transformer
Learning representations with self-supervision for convolutional network...
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05/13/2022
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
Although generative facial prior and geometric prior have recently demon...
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04/06/2022
Towards An End-to-End Framework for Flow-Guided Video Inpainting
Optical flow, which captures motion information across frames, is exploi...
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03/25/2022
Interactive Style Transfer: All is Your Palette
Neural style transfer (NST) can create impressive artworks by transferri...
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03/10/2022
Representation Compensation Networks for Continual Semantic Segmentation
In this work, we study the continual semantic segmentation problem, wher...
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07/24/2021
Personalized Image Semantic Segmentation
Semantic segmentation models trained on public datasets have achieved gr...
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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...
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06/22/2021
P2T: Pyramid Pooling Transformer for Scene Understanding
This paper jointly resolves two problems in vision transformer: i) the c...
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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 ...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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05/07/2021
Salient Objects in Clutter
This paper identifies and addresses a serious design bias of existing sa...
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04/21/2021
Lighting the Darkness in the Deep Learning Era
Low-light image enhancement (LLIE) aims at improving the perception or i...
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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...
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02/20/2021
Concealed Object Detection
We present the first systematic study on concealed object detection (COD...
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01/04/2021
Global2Local: Efficient Structure Search for Video Action Segmentation
Temporal receptive fields of models play an important role in action seg...
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12/24/2020
MobileSal: Extremely Efficient RGB-D Salient Object Detection
The high computational cost of neural networks has prevented recent succ...
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12/24/2020
EDN: Salient Object Detection via Extremely-Downsampled Network
Recent progress on salient object detection (SOD) mainly benefits from m...
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12/21/2020
Centralized Information Interaction for Salient Object Detection
The U-shape structure has shown its advantage in salient object detectio...
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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 ...
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11/25/2020
Delving Deep into Label Smoothing
Label smoothing is an effective regularization tool for deep neural netw...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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10/02/2020
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Differentiable Architecture Search (DARTS) has attracted extensive atten...
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09/01/2020
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Generalized zero-shot learning (GZSL) aims to recognize both seen and un...
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08/28/2020
