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09/20/2023
Towards Robust Few-shot Point Cloud Semantic Segmentation
Few-shot point cloud semantic segmentation aims to train a model to quic...
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09/20/2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Existing fully-supervised point cloud segmentation methods suffer in the...
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09/15/2023
Robust e-NeRF: NeRF from Sparse Noisy Events under Non-Uniform Motion
Event cameras offer many advantages over standard cameras due to their d...
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08/31/2023
GHuNeRF: Generalizable Human NeRF from a Monocular Video
In this paper, we tackle the challenging task of learning a generalizabl...
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08/20/2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
Domain adaptation (DA) aims to transfer knowledge from a fully labeled s...
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08/18/2023
DReg-NeRF: Deep Registration for Neural Radiance Fields
Although Neural Radiance Fields (NeRF) is popular in the computer vision...
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07/25/2023
Weakly-supervised 3D Pose Transfer with Keypoints
The main challenges of 3D pose transfer are: 1) Lack of paired training ...
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07/18/2023
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Remarkable progress has been made in 3D reconstruction from single-view ...
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05/24/2023
OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
Dynamic neural radiance fields (dynamic NeRFs) have demonstrated impress...
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05/22/2023
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
Real-world data tends to follow a long-tailed distribution, where the cl...
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05/18/2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...
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05/15/2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
The text-driven image and video diffusion models have achieved unprecede...
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05/01/2023
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Direct mesh fitting for 3D hand shape reconstruction is highly accurate....
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03/27/2023
ScarceNet: Animal Pose Estimation with Scarce Annotations
Animal pose estimation is an important but under-explored task due to th...
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03/25/2023
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
Recent works such as BARF and GARF can bundle adjust camera poses with n...
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03/25/2023
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
Dynamic Neural Radiance Field (NeRF) is a powerful algorithm capable of ...
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03/20/2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
Although many recent works have investigated generalizable NeRF-based no...
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01/28/2023
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion
Despite the impressive results achieved by many existing Structure from ...
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12/21/2022
Incremental Learning for Neural Radiance Field with Uncertainty-Filtered Knowledge Distillation
Recent neural radiance field (NeRF) representation has achieved great su...
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12/18/2022
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Domain shift widely exists in the visual world, while modern deep neural...
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12/09/2022
Motion and Context-Aware Audio-Visual Conditioned Video Prediction
Existing state-of-the-art method for audio-visual conditioned video pred...
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12/09/2022
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds
Semantic segmentation in 3D indoor scenes has achieved remarkable perfor...
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12/06/2022
Open World DETR: Transformer based Open World Object Detection
Open world object detection aims at detecting objects that are absent in...
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07/29/2022
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
Explicit neural surface representations allow for exact and efficient ex...
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07/20/2022
Feature Representation Learning for Unsupervised Cross-domain Image Retrieval
Current supervised cross-domain image retrieval methods can achieve exce...
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07/19/2022
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
Since Intersection-over-Union (IoU) based optimization maintains the con...
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07/11/2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
In this paper, we consider the problem of domain generalization in seman...
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05/26/2022
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement
Recent works on unsupervised domain adaptation (UDA) focus on the select...
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05/18/2022
VRAG: Region Attention Graphs for Content-Based Video Retrieval
Content-based Video Retrieval (CBVR) is used on media-sharing platforms ...
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05/09/2022
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
Incremental few-shot object detection aims at detecting novel classes wi...
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04/06/2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
In this paper, we study the task of synthetic-to-real domain generalized...
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03/28/2022
REGTR: End-to-end Point Cloud Correspondences with Transformers
Despite recent success in incorporating learning into point cloud regist...
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03/07/2022
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation
State-of-the-art approaches for 6D object pose estimation require large ...
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12/14/2021
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Deep learning-based approaches have shown remarkable performance in the ...
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12/03/2021
Novel Class Discovery in Semantic Segmentation
We introduce a new setting of Novel Class Discovery in Semantic Segmenta...
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11/22/2021
A General Framework for Lifelong Localization and Mapping in Changing Environment
The environment of most real-world scenarios such as malls and supermark...
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11/16/2021
Coarse-to-fine Animal Pose and Shape Estimation
Most existing animal pose and shape estimation approaches reconstruct an...
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11/01/2021
Learning Iterative Robust Transformation Synchronization
Transformation Synchronization is the problem of recovering absolute tra...
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10/28/2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
Deep networks have shown remarkable results in the task of object detect...
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08/23/2021
Voxel-based Network for Shape Completion by Leveraging Edge Generation
Deep learning technique has yielded significant improvements in point cl...
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06/07/2021
Source-Free Open Compound Domain Adaptation in Semantic Segmentation
In this work, we introduce a new concept, named source-free open compoun...
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05/25/2021
FILTRA: Rethinking Steerable CNN by Filter Transform
Steerable CNN imposes the prior knowledge of transformation invariance o...
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04/08/2021
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
This paper presents DeepI2P: a novel approach for cross-modality registr...
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04/06/2021
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
Bottom-up approaches for image-based multi-person pose estimation consis...
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04/06/2021
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
Existing approaches for multi-view multi-person 3D pose estimation expli...
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03/27/2021
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
In this paper, we propose MINE to perform novel view synthesis and depth...
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03/27/2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
Animal pose estimation is an important field that has received increasin...
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03/26/2021
City-scale Scene Change Detection using Point Clouds
We propose a method for detecting structural changes in a city using ima...
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10/17/2020
A Self-supervised Cascaded Refinement Network for Point Cloud Completion
Point clouds are often sparse and incomplete, which imposes difficulties...
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08/13/2020