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08/31/2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...
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08/29/2023
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
We present DiffBIR, which leverages pretrained text-to-image diffusion m...
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08/26/2023
Boosting Residual Networks with Group Knowledge
Recent research understands the residual networks from a new perspective...
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08/21/2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Scale variation is a deep-rooted problem in object counting, which has n...
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08/14/2023
Masked Motion Predictors are Strong 3D Action Representation Learners
In 3D human action recognition, limited supervised data makes it challen...
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08/11/2023
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Structural re-parameterization is a general training scheme for Convolut...
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08/06/2023
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a novel transformer-based framework that aims to enh...
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07/20/2023
Meta-Transformer: A Unified Framework for Multimodal Learning
Multimodal learning aims to build models that can process and relate inf...
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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/19/2023
UniG3D: A Unified 3D Object Generation Dataset
The field of generative AI has a transformative impact on various areas,...
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06/15/2023
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
Accurate traffic forecasting is vital to intelligent transportation syst...
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06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
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06/11/2023
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Large language models have become a potential pathway toward achieving a...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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05/10/2023
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification
Clothes-invariant feature extraction is critical to the clothes-changing...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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04/25/2023
Seeing is not always believing: A Quantitative Study on Human Perception of AI-Generated Images
Photos serve as a way for humans to record what they experience in their...
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04/06/2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
We present FengWu, an advanced data-driven global medium-range weather f...
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03/22/2023
Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility
Many material properties are manifested in the morphological appearance ...
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03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
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03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
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03/03/2023
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Synthesizing controllable motion for a character using deep learning has...
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02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
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01/29/2023
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline
Recently, perception task based on Bird's-Eye View (BEV) representation ...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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12/31/2022
Ponder: Point Cloud Pre-training via Neural Rendering
We propose a novel approach to self-supervised learning of point cloud r...
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12/20/2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
Masked Modeling (MM) has demonstrated widespread success in various visi...
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12/17/2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
The recent success of pre-trained 2D vision models is mostly attributabl...
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12/08/2022
Frozen CLIP Model is An Efficient Point Cloud Backbone
The pretraining-finetuning paradigm has demonstrated great success in NL...
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12/06/2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Despite the tremendous progress of Masked Autoencoders (MAE) in developi...
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11/30/2022
Reconstructing Hand-Held Objects from Monocular Video
This paper presents an approach that reconstructs a hand-held object fro...
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11/17/2022
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation
Previous top-performing methods for 3D instance segmentation often maint...
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11/14/2022
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Current 3D object detection methods heavily rely on an enormous amount o...
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10/11/2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Long-tail distribution is widely spread in real-world applications. Due ...
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10/09/2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Residual networks have shown great success and become indispensable in t...
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10/03/2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Pre-training across 3D vision and language remains under development bec...
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09/23/2022
Towards Frame Rate Agnostic Multi-Object Tracking
Multi-Object Tracking (MOT) is one of the most fundamental computer visi...
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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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08/15/2022
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
Image-based 3D detection is an indispensable component of the perception...
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07/29/2022
Fine-grained Retrieval Prompt Tuning
Fine-grained object retrieval aims to learn discriminative representatio...
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07/22/2022
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
Estimating 3D interacting hand pose from a single RGB image is essential...
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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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07/17/2022
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
Contrastive-based self-supervised learning methods achieved great succes...
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06/14/2022
TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer
In this work, we explore neat yet effective Transformer-based frameworks...
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06/13/2022
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
Knowledge distillation (KD) has shown very promising capabilities in tra...
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05/10/2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Generalizing learned representations across significantly different visu...
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05/03/2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Federated learning (FL) has been widely employed for medical image analy...
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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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04/04/2022
Unsupervised Learning of Accurate Siamese Tracking
Unsupervised learning has been popular in various computer vision tasks,...
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03/25/2022
