b'Zhiguo Cao'

research

∙ 08/29/2023

Learning to Upsample by Learning to Sample

We present DySample, an ultra-lightweight and effective dynamic upsample...

0 Wenze Liu, et al. ∙

research

∙ 08/26/2023

Point-Query Quadtree for Crowd Counting, Localization, and More

We show that crowd counting can be viewed as a decomposable point queryi...

0 Chengxin Liu, et al. ∙

research

∙ 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...

0 Liao Shen, et al. ∙

research

∙ 08/04/2023

Diffusion-Augmented Depth Prediction with Sparse Annotations

Depth estimation aims to predict dense depth maps. In autonomous driving...

0 Jiaqi Li, et al. ∙

research

∙ 08/03/2023

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

We present the All-Seeing (AS) project: a large-scale data and model for...

0 Weiyun Wang, et al. ∙

research

∙ 07/24/2023

Fast Full-frame Video Stabilization with Iterative Optimization

Video stabilization refers to the problem of transforming a shaky video ...

0 Weiyue Zhao, et al. ∙

research

∙ 07/18/2023

Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells

Learning-based multi-view stereo (MVS) methods deal with predicting accu...

0 Xinyi Ye, et al. ∙

research

∙ 07/17/2023

Neural Video Depth Stabilizer

Video depth estimation aims to infer temporally consistent depth. Some m...

0 Yiran Wang, et al. ∙

research

∙ 07/17/2023

Box-DETR: Understanding and Boxing Conditional Spatial Queries

Conditional spatial queries are recently introduced into DEtection TRans...

0 Wenze Liu, et al. ∙

research

∙ 07/17/2023

On Point Affiliation in Feature Upsampling

We introduce the notion of point affiliation into feature upsampling. By...

0 Wenze Liu, et al. ∙

research

∙ 06/07/2023

Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors

We consider the problem of realistic bokeh rendering from a single all-i...

0 Xianrui Luo, et al. ∙

research

∙ 06/07/2023

Learning Probabilistic Coordinate Fields for Robust Correspondences

We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-i...

0 Weiyue Zhao, et al. ∙

research

∙ 06/05/2023

A2B: Anchor to Barycentric Coordinate for Robust Correspondence

There is a long-standing problem of repeated patterns in correspondence ...

0 Weiyue Zhao, et al. ∙

research

∙ 05/08/2023

Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting

Class-agnostic counting (CAC) aims to count objects of interest from a q...

0 Zhicheng Wang, et al. ∙

research

∙ 04/11/2023

Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair

All-in-Focus (AIF) photography is expected to be a commercial selling po...

0 Xianrui Luo, et al. ∙

research

∙ 04/07/2023

A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image

3D interacting hand pose estimation from a single RGB image is a challen...

0 Changlong Jiang, et al. ∙

research

∙ 03/28/2023

Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video

Real-time eyeblink detection in the wild can widely serve for fatigue de...

0 Wenzheng Zeng, et al. ∙

research

∙ 03/28/2023

Learning Second-Order Attentive Context for Efficient Correspondence Pruning

Correspondence pruning aims to search consistent correspondences (inlier...

0 Xinyi Ye, et al. ∙

research

∙ 03/10/2023

3D Cinemagraphy from a Single Image

We present 3D Cinemagraphy, a new technique that marries 2D image animat...

0 Xingyi Li, et al. ∙

research

∙ 02/17/2023

Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression

Automatic image cropping algorithms aim to recompose images like human-b...

0 Zhiyu Pan, et al. ∙

research

∙ 12/27/2022

Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting

We study the composition style in deep image matting, a notion that char...

0 Zixuan Ye, et al. ∙

research

∙ 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...

0 Xingyi Li, et al. ∙

research

∙ 09/26/2022

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

We introduce point affiliation into feature upsampling, a notion that de...

0 Hao Lu, et al. ∙

research

∙ 08/01/2022

DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields

Neural Radiance Field (NeRF) and its variants have exhibited great succe...

1 Zijin Wu, et al. ∙

research

∙ 07/31/2022

Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels

Generative adversarial networks (GANs) have been trained to be professio...

0 Yinpeng Chen, et al. ∙

research

∙ 07/31/2022

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling

Temporal consistency is the key challenge of video depth estimation. Pre...

1 Yiran Wang, et al. ∙

research

∙ 07/21/2022

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

We consider the problem of task-agnostic feature upsampling in dense pre...

0 Hao Lu, et al. ∙

research

∙ 07/20/2022

Robust Object Detection With Inaccurate Bounding Boxes

Learning accurate object detectors often requires large-scale training d...

0 Chengxin Liu, et al. ∙

research

∙ 07/18/2022

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

Partial occlusion effects are a phenomenon that blurry objects near a ca...

1 Juewen Peng, et al. ∙

research

∙ 07/15/2022

3D Instances as 1D Kernels

We introduce a 3D instance representation, termed instance kernels, wher...

8 Yizheng Wu, et al. ∙

research

∙ 06/25/2022

BokehMe: When Neural Rendering Meets Classical Rendering

We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...

11 Juewen Peng, et al. ∙

research

∙ 03/16/2022

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

Class-agnostic counting (CAC) aims to count all instances in a query ima...

0 Min Shi, et al. ∙

research

∙ 11/10/2020

AIM 2020 Challenge on Rendering Realistic Bokeh

This paper reviews the second AIM realistic bokeh effect rendering chall...

6 Andrey Ignatov, et al. ∙

research

∙ 11/10/2020

On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration

This paper focuses on developing efficient and robust evaluation metrics...

7 Jiaqi Yang, et al. ∙

research

∙ 07/21/2020

3D Correspondence Grouping with Compatibility Features

We present a simple yet effective method for 3D correspondence grouping....

0 Jiaqi Yang, et al. ∙

research

∙ 07/16/2020

Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

We formulate counting as a sequential decision problem and present a nov...

17 Liang Liu, et al. ∙

research

∙ 07/11/2020

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

Face verification can be regarded as a 2-class fine-grained visual recog...

0 Fu Xiong, et al. ∙

research

∙ 05/28/2020

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

Towards 3D object tracking in point clouds, a novel point-to-box network...

10 Haozhe Qi, et al. ∙

research

∙ 05/12/2020

3DV: 3D Dynamic Voxel for Action Recognition in Depth Video

To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...

6 Yancheng Wang, et al. ∙

research

∙ 03/30/2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

In this work, we study how well different type of approaches generalise ...

1 Anil Armagan, et al. ∙

research

∙ 01/22/2020

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

The local reference frame (LRF) acts as a critical role in 3D local shap...

7 Angfan Zhu, et al. ∙

research

∙ 01/07/2020

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

Visual counting, a task that aims to estimate the number of objects from...

20 Haipeng Xiong, et al. ∙

research

∙ 11/01/2019

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

Point cloud analysis is a basic task in 3D computer vision, which attrac...

32 Chen Zhao, et al. ∙

research

∙ 09/03/2019

Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

Matching corresponding features between two images is a fundamental task...

5 Chen Zhao, et al. ∙

research

∙ 08/27/2019

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

For 3D hand and body pose estimation task in depth image, a novel anchor...

18 Fu Xiong, et al. ∙

research

∙ 08/15/2019

From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

Visual counting, a task that predicts the number of objects from an imag...

4 Haipeng Xiong, et al. ∙

research

∙ 04/30/2019

Comparative evaluation of 2D feature correspondence selection algorithms

Correspondence selection aiming at seeking correct feature correspondenc...

24 Chen Zhao, et al. ∙

research

∙ 04/27/2019

Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

This paper presents a simple yet very effective data-driven approach to ...

0 Jiaqi Yang, et al. ∙

research

∙ 03/31/2019

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

Feature correspondence selection is pivotal to many feature-matching bas...

0 Chen Zhao, et al. ∙

research

∙ 02/21/2019

Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices

Effective and real-time eyeblink detection is of wide-range applications...

8 Guilei Hu, et al. ∙

Zhiguo Cao

Featured Co-authors