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08/21/2023
CoNe: Contrast Your Neighbours for Supervised Image Classification
Image classification is a longstanding problem in computer vision and ma...
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06/08/2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Image recognition and generation have long been developed independently ...
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06/08/2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
This paper introduces a novel transformer-based network architecture, Fl...
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05/31/2023
A Unified Conditional Framework for Diffusion-based Image Restoration
Diffusion Probabilistic Models (DPMs) have recently shown remarkable per...
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05/25/2023
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
The captivating realm of Minecraft has attracted substantial research in...
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03/29/2023
Real-time Controllable Denoising for Image and Video
Controllable image denoising aims to generate clean samples with human p...
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03/06/2023
KBNet: Kernel Basis Network for Image Restoration
How to aggregate spatial information plays an essential role in learning...
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11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
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11/17/2022
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
To effectively exploit the potential of large-scale models, various pre-...
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11/10/2022
Demystify Transformers Convolutions in Modern Image Deep Networks
Recent success of vision transformers has inspired a series of vision ba...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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09/19/2022
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
Magnetic Resonance Fingerprinting (MRF) is a novel technique that simult...
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08/23/2022
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild
This paper investigates the task of 2D whole-body human pose estimation,...
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08/10/2022
Learning Degradation Representations for Image Deblurring
In various learning-based image restoration tasks, such as image denoisi...
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08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
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08/03/2022
Online decentralized tracking for nonlinear time-varying optimal power flow of coupled transmission-distribution grids
The coordinated alternating current optimal power flow (ACOPF) for coupl...
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07/28/2022
A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)
In this article, we present a new EEG signal classification framework by...
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07/21/2022
Pose for Everything: Towards Category-Agnostic Pose Estimation
Existing works on 2D pose estimation mainly focus on a certain category,...
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07/07/2022
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
This paper addresses an important problem of ranking the pre-trained dee...
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06/25/2022
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
The learning and aggregation of multi-scale features are essential in em...
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06/22/2022
No Attention is Needed: Grouped Spatial-temporal Shift for Simple and Efficient Video Restorers
Video restoration, aiming at restoring clear frames from degraded videos...
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06/19/2022
3D Object Detection for Autonomous Driving: A Review and New Outlooks
Autonomous driving, in recent years, has been receiving increasing atten...
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06/09/2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
To build an artificial neural network like the biological intelligence s...
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06/02/2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Self-supervised learning (SSL) has delivered superior performance on a v...
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05/10/2022
Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network
With the growing popularity of smartphones, capturing high-quality image...
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04/19/2022
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
Vision transformers have achieved great successes in many computer visio...
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03/29/2022
Learning a Structured Latent Space for Unsupervised Point Cloud Completion
Unsupervised point cloud completion aims at estimating the corresponding...
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03/25/2022
Point2Seq: Detecting 3D Objects as Sequences
We present a simple and effective framework, named Point2Seq, for 3D obj...
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03/24/2022
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
6-DoF object pose estimation from a monocular image is challenging, and ...
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03/16/2022
Relational Self-Supervised Learning
Self-supervised Learning (SSL) including the mainstream contrastive lear...
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02/27/2022
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
The correct ego-motion estimation basically relies on the understanding ...
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01/13/2022
Learning Semantic Abstraction of Shape via 3D Region of Interest
In this paper, we focus on the two tasks of 3D shape abstraction and sem...
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12/05/2021
Dynamic Token Normalization Improves Vision Transformer
Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...
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12/02/2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Biological intelligence systems of animals perceive the world by integra...
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11/29/2021
IDR: Self-Supervised Image Denoising via Iterative Data Refinement
The lack of large-scale noisy-clean image pairs restricts supervised den...
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11/26/2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Deep learning-based models encounter challenges when processing long-tai...
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11/24/2021
GreedyNASv2: Greedier Search with a Greedy Path Filter
Training a good supernet in one-shot NAS methods is difficult since the ...
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10/10/2021
Weakly Supervised Contrastive Learning
Unsupervised visual representation learning has gained much attention fr...
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10/10/2021
Rethinking Noise Synthesis and Modeling in Raw Denoising
The lack of large-scale real raw image denoising dataset gives rise to c...
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09/07/2021
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
Transformer, as a strong and flexible architecture for modelling long-ra...
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08/23/2021
Voxel-based Network for Shape Completion by Leveraging Edge Generation
Deep learning technique has yielded significant improvements in point cl...
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08/18/2021
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Stereo-based 3D detection aims at detecting 3D object bounding boxes fro...
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07/20/2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Self-supervised Learning (SSL) including the mainstream contrastive lear...
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06/25/2021
Vision Transformer Architecture Search
Recently, transformers have shown great superiority in solving computer ...
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06/04/2021
Scalable Transformers for Neural Machine Translation
Transformer has been widely adopted in Neural Machine Translation (NMT) ...
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05/21/2021
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
Human pose estimation has achieved significant progress in recent years....
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04/22/2021
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
While accurate lip synchronization has been achieved for arbitrary-subje...
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04/14/2021
Decoupled Spatial-Temporal Transformer for Video Inpainting
Video inpainting aims to fill the given spatiotemporal holes with realis...
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04/13/2021
Visually Informed Binaural Audio Generation without Binaural Audios
Stereophonic audio, especially binaural audio, plays an essential role i...
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04/08/2021