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08/07/2023
Learning Photometric Feature Transform for Free-form Object Scan
We propose a novel framework to automatically learn to aggregate and tra...
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07/25/2023
High-Resolution Volumetric Reconstruction for Clothed Humans
We present a novel method for reconstructing clothed humans from a spars...
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05/29/2023
Compact Real-time Radiance Fields with Neural Codebook
Reconstructing neural radiance fields with explicit volumetric represent...
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05/21/2023
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
Panoramic image enables deeper understanding and more holistic perceptio...
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04/04/2023
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
We propose a method to learn a high-quality implicit 3D head avatar from...
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03/20/2023
Learning Optical Flow from Event Camera with Rendered Dataset
We study the problem of estimating optical flow from event cameras. One ...
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03/11/2023
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning
Deep convolutional neural network (DCNN for short) models are vulnerable...
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01/21/2023
Dense RGB SLAM with Neural Implicit Maps
There is an emerging trend of using neural implicit functions for map re...
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12/14/2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
This paper proposes a deep recurrent Rotation Averaging Graph Optimizer ...
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11/21/2022
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization
This paper presents an end-to-end neural mapping method for camera local...
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10/26/2022
Streaming Radiance Fields for 3D Video Synthesis
We present an explicit-grid based method for efficiently reconstructing ...
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10/14/2022
DART: Articulated Hand Model with Diverse Accessories and Rich Textures
Hand, the bearer of human productivity and intelligence, is receiving mu...
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07/26/2022
RenderNet: Visual Relocalization Using Virtual Viewpoints in Large-Scale Indoor Environments
Visual relocalization has been a widely discussed problem in 3D vision: ...
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06/23/2022
Unseen Object 6D Pose Estimation: A Benchmark and Baselines
Estimating the 6D pose for unseen objects is in great demand for many re...
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05/31/2022
Text/Speech-Driven Full-Body Animation
Due to the increasing demand in films and games, synthesizing 3D avatar ...
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05/23/2022
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds
3D motion estimation including scene flow and point cloud registration h...
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03/25/2022
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
Neural fields such as implicit surfaces have recently enabled avatar mod...
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03/22/2022
A Real World Dataset for Multi-view 3D Reconstruction
We present a dataset of 371 3D models of everyday tabletop objects along...
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03/03/2022
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
Estimating the accurate depth from a single image is challenging since i...
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01/13/2022
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
We propose VoLux-GAN, a generative framework to synthesize 3D-aware face...
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01/08/2022
QuadTree Attention for Vision Transformers
Transformers have been successful in many vision tasks, thanks to their ...
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01/03/2022
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
Spotting graphical symbols from the computer-aided design (CAD) drawings...
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11/22/2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
State-of-the-art face recognition methods typically take the multi-class...
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05/15/2021
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
Access to large and diverse computer-aided design (CAD) drawings is crit...
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05/11/2021
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
Modern deep-learning-based lane detection methods are successful in most...
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04/23/2021
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
In this paper, we propose a cloud-based benchmark for robotic grasping a...
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04/08/2021
Riggable 3D Face Reconstruction via In-Network Optimization
This paper presents a method for riggable 3D face reconstruction from mo...
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03/31/2021
Learning Camera Localization via Dense Scene Matching
Camera localization aims to estimate 6 DoF camera poses from RGB images....
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03/29/2021
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
In this paper, we address the problem of building dense correspondences ...
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03/27/2021
AR Mapping: Accurate and Efficient Mapping for Augmented Reality
Augmented reality (AR) has gained increasingly attention from both resea...
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03/27/2021
Compact 3D Map-Based Monocular Localization Using Semantic Edge Alignment
Accurate localization is fundamental to a variety of applications, such ...
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03/27/2021
Learning Efficient Photometric Feature Transform for Multi-view Stereo
We present a novel framework to learn to convert the perpixel photometri...
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03/24/2021
DRO: Deep Recurrent Optimizer for Structure-from-Motion
There are increasing interests of studying the structure-from-motion (Sf...
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03/24/2021
Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs
The integration of multiple cameras and 3D Li- DARs has become basic con...
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03/22/2021
Cluster Contrast for Unsupervised Person Re-Identification
Unsupervised person re-identification (re-ID) attractsincreasing attenti...
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10/17/2020
MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
Deep learning based 3D shape generation methods generally utilize latent...
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07/20/2020
Interpretable Foreground Object Search As Knowledge Distillation
This paper proposes a knowledge distillation method for foreground objec...
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05/07/2020
Self-Supervised Human Depth Estimation from Monocular Videos
Previous methods on estimating detailed human depth often require superv...
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04/20/2020
LSM: Learning Subspace Minimization for Low-level Vision
We study the energy minimization problem in low-level vision tasks from ...
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03/12/2020
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
In this work, we propose an end-to-end framework to learn local multi-vi...
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02/29/2020
Channel Equilibrium Networks for Learning Deep Representation
Convolutional Neural Networks (CNNs) are typically constructed by stacki...
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02/22/2020
Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection
This paper studies a new problem, namely active lighting recurrence (ALR...
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01/18/2020
Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials
We present a method to capture both 3D shape and spatially varying refle...
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12/13/2019
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
The deep multi-view stereo (MVS) and stereo matching approaches generall...
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11/17/2019
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
We present an unsupervised approach for factorizing object appearance in...
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10/03/2019
A Neural Network for Detailed Human Depth Estimation from a Single Image
This paper presents a neural network to estimate a detailed depth map of...
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08/03/2019
Learning Guided Convolutional Network for Depth Completion
Dense depth perception is critical for autonomous driving and other robo...
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01/14/2019
Joint Stabilization and Direction of 360°Videos
360 video provides an immersive experience for viewers, allowing them to...
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11/17/2018
Batch Feature Erasing for Person Re-identification and Beyond
This paper presents a new training mechanism called Batch Feature Erasin...
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06/13/2018
