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08/24/2023
SieveNet: Selecting Point-Based Features for Mesh Networks
Meshes are widely used in 3D computer vision and graphics, but their irr...
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08/21/2023
FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
While text-3D editing has made significant strides in leveraging score d...
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04/20/2023
Omni Aggregation Networks for Lightweight Image Super-Resolution
While lightweight ViT framework has made tremendous progress in image su...
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04/10/2023
Inferring Fluid Dynamics via Inverse Rendering
Humans have a strong intuitive understanding of physical processes such ...
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03/18/2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
We develop a generalized 3D shape generation prior model, tailored for m...
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03/14/2023
Frequency-Modulated Point Cloud Rendering with Easy Editing
We develop an effective point cloud rendering pipeline for novel view sy...
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02/21/2023
USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency
Dressed people reconstruction from images is a popular task with promisi...
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12/07/2022
Learning Continuous Depth Representation via Geometric Spatial Aggregator
Depth map super-resolution (DSR) has been a fundamental task for 3D comp...
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12/05/2022
GARF:Geometry-Aware Generalized Neural Radiance Field
Neural Radiance Field (NeRF) has revolutionized free viewpoint rendering...
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10/27/2022
Boosting Point Clouds Rendering via Radiance Mapping
Recent years we have witnessed rapid development in NeRF-based image ren...
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10/18/2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Automatic rib labeling and anatomical centerline extraction are common p...
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10/09/2022
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Human motion synthesis is a long-standing problem with various applicati...
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06/30/2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
The human annotations are imperfect, especially when produced by junior ...
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06/11/2022
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
Projection map (PM) from optical coherence tomography (OCT) B-scan is an...
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05/26/2022
HIRL: A General Framework for Hierarchical Image Representation Learning
Learning self-supervised image representations has been broadly studied ...
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03/19/2022
Representation-Agnostic Shape Fields
3D shape analysis has been widely explored in the era of deep learning. ...
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03/16/2022
Gradient Correction beyond Gradient Descent
The great success neural networks have achieved is inseparable from the ...
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02/01/2022
HCSC: Hierarchical Contrastive Selective Coding
Hierarchical semantic structures naturally exist in an image dataset, in...
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12/08/2021
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
Restoring reasonable and realistic content for arbitrary missing regions...
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12/05/2021
Global-Local Context Network for Person Search
Person search aims to jointly localize and identify a query person from ...
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11/29/2021
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Domain generalizable person re-identification aims to apply a trained mo...
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11/07/2021
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
We consider a new problem of adapting a human mesh reconstruction model ...
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10/27/2021
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of...
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10/19/2021
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
The style-based GAN (StyleGAN) architecture achieved state-of-the-art re...
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09/17/2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Modeling 3D context is essential for high-performance 3D medical image a...
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09/17/2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Manual rib inspections in computed tomography (CT) scans are clinically ...
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09/09/2021
Energy Attack: On Transferring Adversarial Examples
In this work we propose Energy Attack, a transfer-based black-box L_∞-ad...
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08/26/2021
Cross-category Video Highlight Detection via Set-based Learning
Autonomous highlight detection is crucial for enhancing the efficiency o...
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08/05/2021
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
Given a picture of a chair, could we extract the 3-D shape of the chair,...
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06/19/2021
Exploring Visual Context for Weakly Supervised Person Search
Person search has recently emerged as a challenging task that jointly ad...
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06/14/2021
Context-Aware Image Inpainting with Learned Semantic Priors
Recent advances in image inpainting have shown impressive results for ge...
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06/11/2021
SimSwap: An Efficient Framework For High Fidelity Face Swapping
We propose an efficient framework, called Simple Swap (SimSwap), aiming ...
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06/10/2021
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Unsupervised learning methods have recently shown their competitiveness ...
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06/08/2021
Self-supervised Graph-level Representation Learning with Local and Global Structure
This paper studies unsupervised/self-supervised whole-graph representati...
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06/04/2021
X-volution: On the unification of convolution and self-attention
Convolution and self-attention are acting as two fundamental building bl...
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04/29/2021
3D Human Action Representation Learning via Cross-View Consistency Pursuit
In this work, we propose a Cross-view Contrastive Learning framework for...
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04/29/2021
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Learning to re-identify or retrieve a group of people across non-overlap...
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04/27/2021
Graphical Modeling for Multi-Source Domain Adaptation
Multi-Source Domain Adaptation (MSDA) focuses on transferring the knowle...
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03/30/2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
This paper considers a new problem of adapting a pre-trained model of hu...
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12/16/2020
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
We propose a novel image-to-pencil translation method that could not onl...
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11/26/2020
Omni-GAN: On the Secrets of cGANs and Beyond
It has been an important problem to design a proper discriminator for co...
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10/28/2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
We present MedMNIST, a collection of 10 pre-processed medical open datas...
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10/21/2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
This paper addresses the challenging black-box adversarial attack proble...
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10/16/2020
Anisotropic Stroke Control for Multiple Artists Style Transfer
Though significant progress has been made in artistic style transfer, se...
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10/08/2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Predicting clinical outcome is remarkably important but challenging. Res...
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10/08/2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Diagnosis of pulmonary lesions from computed tomography (CT) is importan...
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07/27/2020
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
We develop a novel learning scheme named Self-Prediction for 3D instance...
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07/17/2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Transferring knowledges learned from multiple source domains to target d...
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07/03/2020
Collaborative Learning for Faster StyleGAN Embedding
The latent code of the recent popular model StyleGAN has learned disenta...
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07/03/2020