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09/02/2023
Domain Generalization via Balancing Training Difficulty and Model Capability
Domain generalization (DG) aims to learn domain-generalizable models fro...
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08/29/2023
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed m...
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08/25/2023
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Black-box unsupervised domain adaptation (UDA) learns with source predic...
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08/09/2023
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
Neural Radiance Field (NeRF) has shown impressive performance in novel v...
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07/14/2023
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
One-shot skeleton action recognition, which aims to learn a skeleton act...
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06/29/2023
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Traditional domain adaptation assumes the same vocabulary across source ...
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05/31/2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
In the past decade, deep neural networks have achieved significant progr...
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05/23/2023
3D Open-vocabulary Segmentation with Foundation Models
Open-vocabulary segmentation of 3D scenes is a fundamental function of h...
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04/18/2023
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations
Audio-driven talking face generation, which aims to synthesize talking f...
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04/18/2023
POCE: Pose-Controllable Expression Editing
Facial expression editing has attracted increasing attention with the ad...
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04/18/2023
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization
3D Skeleton-based human action recognition has attracted increasing atte...
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04/05/2023
Face Transformer: Towards High Fidelity and Accurate Face Swapping
Face swapping aims to generate swapped images that fuse the identity of ...
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04/03/2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Robust point cloud parsing under all-weather conditions is crucial to le...
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04/03/2023
Vision-Language Models for Vision Tasks: A Survey
Most visual recognition studies rely heavily on crowd-labelled data in d...
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03/19/2023
StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
3D style transfer aims to render stylized novel views of a 3D scene with...
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03/14/2023
Modeling Continuous Motion for 3D Point Cloud Object Tracking
The task of 3D single object tracking (SOT) with LiDAR point clouds is c...
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03/11/2023
Regularized Vector Quantization for Tokenized Image Synthesis
Quantizing images into discrete representations has been a fundamental p...
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03/11/2023
FAC: 3D Representation Learning via Foreground Aware Feature Contrast
Contrastive learning has recently demonstrated great potential for unsup...
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02/28/2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Recent deep-learning-based compression methods have achieved superior pe...
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12/15/2022
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention
3D object detection with surround-view images is an essential task for a...
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12/01/2022
Domain Adaptive Scene Text Detection via Subcategorization
Most existing scene text detectors require large-scale training data whi...
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08/24/2022
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
Multi-scale features have been proven highly effective for object detect...
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08/10/2022
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer
With the prevalence of LiDAR sensors in autonomous driving, 3D object tr...
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08/04/2022
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution
Recently, single image super-resolution (SR) under large scaling factors...
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08/04/2022
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection
3D object detection using point clouds has attracted increasing attentio...
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07/30/2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...
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07/30/2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Few-shot object detection has been extensively investigated by incorpora...
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07/28/2022
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
The recently proposed DEtection TRansformer (DETR) has established a ful...
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07/26/2022
Contextual Text Block Detection towards Scene Text Understanding
Most existing scene text detectors focus on detecting characters or word...
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07/21/2022
Auto-regressive Image Synthesis with Integrated Quantization
Deep generative models have achieved conspicuous progress in realistic i...
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07/06/2022
Towards Counterfactual Image Manipulation via CLIP
Leveraging StyleGAN's expressivity and its disentangled latent codes, ex...
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07/06/2022
VMRF: View Matching Neural Radiance Fields
Neural Radiance Fields (NeRF) have demonstrated very impressive performa...
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07/06/2022
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
Video semantic segmentation has achieved great progress under the superv...
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06/30/2022
Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation
Domain adaptive panoptic segmentation aims to mitigate data annotation c...
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04/01/2022
Marginal Contrastive Correspondence for Guided Image Generation
Exemplar-based image translation establishes dense correspondences betwe...
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03/18/2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation learns from small amounts of label...
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03/18/2022
Fourier Document Restoration for Robust Document Dewarping and Recognition
State-of-the-art document dewarping techniques learn to predict 3-dimens...
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03/17/2022
Modulated Contrast for Versatile Image Synthesis
Perceiving the similarity between images has been a long-standing and fu...
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03/14/2022
Accelerating DETR Convergence via Semantic-Aligned Matching
The recently developed DEtection TRansformer (DETR) establishes a new ob...
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03/08/2022
Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting
Recently, Vision-Language Pre-training (VLP) techniques have greatly ben...
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02/28/2022
Unsupervised Representation Learning for Point Clouds: A Survey
Point cloud data have been widely explored due to its superior accuracy ...
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01/28/2022
Dual Learning Music Composition and Dance Choreography
Music and dance have always co-existed as pillars of human activities, c...
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12/30/2021
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Predicting human motion from historical pose sequence is crucial for a m...
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12/27/2021
Multimodal Image Synthesis and Editing: A Survey
As information exists in various modalities in real world, effective int...
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12/06/2021
PTTR: Relational 3D Point Cloud Object Tracking with Transformer
In a point cloud sequence, 3D object tracking aims to predict the locati...
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12/03/2021
Music-to-Dance Generation with Optimal Transport
Dance choreography for a piece of music is a challenging task, having to...
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10/07/2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Unsupervised domain adaptation aims to align a labeled source domain and...
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10/04/2021
GenCo: Generative Co-training on Data-Limited Image Generation
Training effective Generative Adversarial Networks (GANs) requires large...
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08/04/2021
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
Skeleton-based human action recognition has attracted increasing attenti...
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07/23/2021