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08/28/2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Multi-Label Image Recognition (MLIR) is a challenging task that aims to ...
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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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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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08/13/2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Semi-Supervised image classification is one of the most fundamental prob...
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08/11/2023
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Virtual try-on is a critical image synthesis task that aims to transfer ...
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07/16/2023
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-mak...
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07/14/2023
Can Large Language Models Empower Molecular Property Prediction?
Molecular property prediction has gained significant attention due to it...
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05/22/2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Synthesizing high-fidelity head avatars is a central problem for compute...
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04/21/2023
Can GPT-4 Perform Neural Architecture Search?
We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Arch...
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03/30/2023
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Synthetic data has emerged as a promising source for 3D human research a...
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03/24/2023
Deformable Model Driven Neural Rendering for High-fidelity 3D Reconstruction of Human Heads Under Low-View Settings
We propose a robust method for learning neural implicit functions that c...
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03/08/2023
Towards Practical Autonomous Flight Simulation for Flapping Wing Biomimetic Robots with Experimental Validation
Tried-and-true flapping wing robot simulation is essential in developing...
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01/18/2023
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Recent advances in modeling 3D objects mostly rely on synthetic datasets...
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12/29/2022
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
Implicit regularization is an important way to interpret neural networks...
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12/19/2022
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning
Federated learning (FL) allows multiple clients cooperatively train mode...
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12/05/2022
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning
Data generated at the network edge can be processed locally by leveragin...
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10/23/2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Recent deep learning is superior in providing high-quality images and ul...
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10/20/2022
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence
In this work, we propose a Physics-Informed Deep Diffusion magnetic reso...
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10/05/2022
Weak-shot Semantic Segmentation via Dual Similarity Transfer
Semantic segmentation is an important and prevalent task, but severely s...
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09/20/2022
Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points
Poisson surface reconstruction (PSR) remains a popular technique for rec...
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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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08/16/2022
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation
Human pose estimation aims to accurately estimate a wide variety of huma...
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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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07/19/2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Weakly supervised point cloud segmentation, i.e. semantically segmenting...
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07/19/2022
Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation
Morphable models are essential for the statistical modeling of 3D faces....
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07/15/2022
ScaleNet: Searching for the Model to Scale
Recently, community has paid increasing attention on model scaling and c...
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07/12/2022
LightViT: Towards Light-Weight Convolution-Free Vision Transformers
Vision transformers (ViTs) are usually considered to be less light-weigh...
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07/12/2022
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
Conventional knowledge distillation (KD) methods for object detection ma...
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06/30/2022
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach
Generic event boundary detection (GEBD) is an important yet challenging ...
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05/26/2022
Green Hierarchical Vision Transformer for Masked Image Modeling
We present an efficient approach for Masked Image Modeling (MIM) with hi...
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05/21/2022
Knowledge Distillation from A Stronger Teacher
Unlike existing knowledge distillation methods focus on the baseline set...
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04/25/2022
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Unconditional human image generation is an important task in vision and ...
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04/25/2022
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
This work targets at using a general deep learning framework to synthesi...
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04/25/2022
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
This paper focuses on the weakly-supervised audio-visual video parsing t...
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04/24/2022
Simulating Fluids in Real-World Still Images
In this work, we tackle the problem of real-world fluid animation from a...
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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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04/15/2022
A Keypoint-based Global Association Network for Lane Detection
Lane detection is a challenging task that requires predicting complex to...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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03/28/2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Self-supervised learning (SSL) has made enormous progress and largely na...
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03/25/2022
Searching for Network Width with Bilaterally Coupled Network
Searching for a more compact network width recently serves as an effecti...
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03/24/2022
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
Driving 3D characters to dance following a piece of music is highly chal...
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03/24/2022
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Structural re-parameterization (Rep) methods achieve noticeable improvem...
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03/16/2022
Relational Self-Supervised Learning
Self-supervised Learning (SSL) including the mainstream contrastive lear...
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03/14/2022
SimMatch: Semi-supervised Learning with Similarity Matching
Learning with few labeled data has been a longstanding problem in the co...
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01/21/2022
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
Localizing keypoints of an object is a basic visual problem. However, su...
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12/12/2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
We propose near-optimal overlay networks based on d-regular expander gra...
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12/09/2021
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
Generic event boundary detection is an important yet challenging task in...
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12/09/2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Deep learning has shown astonishing performance in accelerated magnetic ...
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11/25/2021