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09/04/2023
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Recent neural networks based surface reconstruction can be roughly divid...
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08/26/2023
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Deep learning has proved to be very effective in video action recognitio...
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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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08/20/2023
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
We study the problem of synthesizing a long-term dynamic video from only...
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08/20/2023
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
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08/18/2023
Unlimited Knowledge Distillation for Action Recognition in the Dark
Dark videos often lose essential information, which causes the knowledge...
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08/18/2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
The key to the success of few-shot segmentation (FSS) lies in how to eff...
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08/03/2023
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
3D semantic scene understanding tasks have achieved great success with t...
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07/17/2023
Neural Video Depth Stabilizer
Video depth estimation aims to infer temporally consistent depth. Some m...
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05/30/2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
The recent advancements in image-text diffusion models have stimulated r...
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05/17/2023
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
The emergence of Neural Radiance Fields (NeRF) for novel view synthesis ...
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04/17/2023
MoDA: Modeling Deformable 3D Objects from Casual Videos
In this paper, we focus on the challenges of modeling deformable 3D obje...
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03/28/2023
StarNet: Style-Aware 3D Point Cloud Generation
This paper investigates an open research task of reconstructing and gene...
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03/24/2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Current methods for few-shot segmentation (FSSeg) have mainly focused on...
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03/23/2023
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
In this paper, we investigate an open research task of generating contro...
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03/10/2023
3D Cinemagraphy from a Single Image
We present 3D Cinemagraphy, a new technique that marries 2D image animat...
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03/09/2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Weakly-supervised point cloud segmentation with extremely limited labels...
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03/08/2023
Neural Vector Fields: Implicit Representation by Explicit Learning
Deep neural networks (DNNs) are widely applied for nowadays 3D surface r...
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01/18/2023
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss
Current vision language pretraining models are dominated by methods usin...
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12/05/2022
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
In the current person Re-identification (ReID) methods, most domain gene...
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11/18/2022
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
The goal of 3D pose transfer is to transfer the pose from the source mes...
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11/15/2022
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
We propose IntegratedPIFu, a new pixel aligned implicit model that build...
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10/16/2022
Indoor Smartphone SLAM with Learned Echoic Location Features
Indoor self-localization is a highly demanded system function for smartp...
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10/02/2022
ManiCLIP: Multi-Attribute Face Manipulation from Text
In this paper we present a novel multi-attribute face manipulation metho...
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09/29/2022
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
We study the problem of novel view synthesis of objects from a single im...
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08/23/2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Few-shot segmentation aims to learn a segmentation model that can be gen...
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08/10/2022
RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation
Instance segmentation on 3D point clouds has been attracting increasing ...
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08/04/2022
ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction
Single-view 3D object reconstruction is a fundamental and challenging co...
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07/29/2022
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval
This paper investigates an open research problem of generating text-imag...
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07/29/2022
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
In this paper, we investigate an open research task of generating 3D car...
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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
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot open-set recognition aims to classify both seen and novel image...
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03/23/2022
Efficient Few-Shot Object Detection via Knowledge Inheritance
Few-shot object detection (FSOD), which aims at learning a generic detec...
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03/09/2022
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Humans tend to mine objects by learning from a group of images or severa...
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01/06/2022
Self-Training Vision Language BERTs with a Unified Conditional Model
Natural language BERTs are trained with language corpus in a self-superv...
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10/19/2021
Improving Tail-Class Representation with Centroid Contrastive Learning
In vision domain, large-scale natural datasets typically exhibit long-ta...
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10/04/2021
Learning Structural Representations for Recipe Generation and Food Retrieval
Food is significant to human daily life. In this paper, we are intereste...
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09/30/2021
3D Pose Transfer with Correspondence Learning and Mesh Refinement
3D pose transfer is one of the most challenging 3D generation tasks. It ...
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09/13/2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Few-shot learning aims to adapt knowledge learned from previous tasks to...
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08/29/2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Real-world visual recognition problems often exhibit long-tailed distrib...
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08/19/2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
We address the challenging task of few-shot segmentation in this work. I...
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08/17/2021
MV-TON: Memory-based Video Virtual Try-on network
With the development of Generative Adversarial Network, image-based virt...
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08/17/2021
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
Weakly supervised image segmentation trained with image-level labels usu...
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08/14/2021
Cross-Modal Graph with Meta Concepts for Video Captioning
Video captioning targets interpreting the complex visual contents as tex...
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08/11/2021
Few-Shot Segmentation with Global and Local Contrastive Learning
In this work, we address the challenging task of few-shot segmentation. ...
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08/06/2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Currently, the state-of-the-art methods treat few-shot semantic segmenta...
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08/05/2021
M2IOSR: Maximal Mutual Information Open Set Recognition
In this work, we aim to address the challenging task of open set recogni...
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08/04/2021
Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds
Recently deep learning has achieved significant progress on point cloud ...
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08/03/2021
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
This paper investigates an open research task of text-to-image synthesis...
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07/27/2021
