Chi-Keung Tang

research

∙ 09/05/2023

EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding

With the surge in attention to Egocentric Hand-Object Interaction (Ego-H...

0 Yue Xu, et al. ∙

research

∙ 07/20/2023

Cascade-DETR: Delving into High-Quality Universal Object Detection

Object localization in general environments is a fundamental part of vis...

0 Mingqiao Ye, et al. ∙

research

∙ 07/03/2023

Segment Anything Meets Point Tracking

The Segment Anything Model (SAM) has established itself as a powerful ze...

0 Frano Rajic, et al. ∙

research

∙ 06/07/2023

UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks

Large-scale joint training of multimodal models, e.g., CLIP, have demons...

0 Yanan Sun, et al. ∙

research

∙ 05/28/2023

Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection

Data-efficient learning has drawn significant attention, especially give...

4 Yue Xu, et al. ∙

research

∙ 05/24/2023

Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models

This paper introduces Deceptive-NeRF, a new method for enhancing the qua...

0 Xinhang Liu, et al. ∙

research

∙ 05/22/2023

Registering Neural Radiance Fields as 3D Density Images

No significant work has been done to directly merge two partially overla...

0 Han Jiang, et al. ∙

research

∙ 04/10/2023

Instance Neural Radiance Field

This paper presents one of the first learning-based NeRF 3D instance seg...

0 Benran Hu, et al. ∙

research

∙ 03/28/2023

Mask-Free Video Instance Segmentation

The recent advancement in Video Instance Segmentation (VIS) has largely ...

0 Lei Ke, et al. ∙

research

∙ 03/26/2023

Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations

While Neural Radiance Fields (NeRFs) had achieved unprecedented novel vi...

0 Xinhang Liu, et al. ∙

research

∙ 11/22/2022

ONeRF: Unsupervised 3D Object Segmentation from Multiple Views

We present ONeRF, a method that automatically segments and reconstructs ...

0 Shengnan Liang, et al. ∙

research

∙ 11/21/2022

NeRF-RPN: A general framework for object detection in NeRFs

This paper presents the first significant object detection framework, Ne...

0 Benran Hu, et al. ∙

research

∙ 11/21/2022

H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions

Capitalizing on the rapid development of neural networks, recent video f...

0 Changlin Li, et al. ∙

research

∙ 11/08/2022

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts

Improving model's generalizability against domain shifts is crucial, esp...

0 Qi Fan, et al. ∙

research

∙ 10/02/2022

Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation

We present radiance field propagation (RFP), a novel approach to segment...

0 Xinhang Liu, et al. ∙

research

∙ 08/08/2022

Occlusion-Aware Instance Segmentation via BiLayer Network Architectures

Segmenting highly-overlapping image objects is challenging, because ther...

21 Lei Ke, et al. ∙

research

∙ 07/28/2022

Video Mask Transfiner for High-Quality Video Instance Segmentation

While Video Instance Segmentation (VIS) has seen rapid progress, current...

6 Lei Ke, et al. ∙

research

∙ 07/23/2022

Self-Support Few-Shot Semantic Segmentation

Existing few-shot segmentation methods have achieved great progress base...

0 Qi Fan, et al. ∙

research

∙ 05/22/2022

Human Instance Matting via Mutual Guidance and Multi-Instance Refinement

This paper introduces a new matting task called human instance matting (...

0 Yanan Sun, et al. ∙

research

∙ 04/16/2022

Interactiveness Field in Human-Object Interactions

Human-Object Interaction (HOI) detection plays a core role in activity u...

0 Xinpeng Liu, et al. ∙

research

∙ 02/15/2022

HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment

Human actions involve complex pose variations and their 2D projections c...

1 Mu-Ruei Tseng, et al. ∙

research

∙ 11/26/2021

Mask Transfiner for High-Quality Instance Segmentation

Two-stage and query-based instance segmentation methods have achieved re...

0 Lei Ke, et al. ∙

research

∙ 08/15/2021

Occlusion-Aware Video Object Inpainting

Conventional video inpainting is neither object-oriented nor occlusion-a...

0 Lei Ke, et al. ∙

research

∙ 06/22/2021

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation

Multiple object tracking and segmentation requires detecting, tracking, ...

0 Lei Ke, et al. ∙

research

∙ 06/09/2021

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

This paper presents a simple yet effective approach to modeling space-ti...

0 Ho Kei Cheng, et al. ∙

research

∙ 04/30/2021

Few-Shot Video Object Detection

We introduce Few-Shot Video Object Detection (FSVOD) with three importan...

0 Qi Fan, et al. ∙

research

∙ 04/22/2021

Deep Video Matting via Spatio-Temporal Alignment and Aggregation

Despite the significant progress made by deep learning in natural image ...

0 Yanan Sun, et al. ∙

research

∙ 04/16/2021

Semantic Image Matting

Natural image matting separates the foreground from background in fracti...

0 Yanan Sun, et al. ∙

research

∙ 03/23/2021

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

Segmenting highly-overlapping objects is challenging, because typically ...

12 Lei Ke, et al. ∙

research

∙ 03/14/2021

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

We present Modular interactive VOS (MiVOS) framework which decouples int...

23 Ho Kei Cheng, et al. ∙

research

∙ 11/17/2020

Semi-Supervised Few-Shot Atomic Action Recognition

Despite excellent progress has been made, the performance on action reco...

0 Xiaoyuan Ni, et al. ∙

research

∙ 09/11/2020

HAA500: Human-Centric Atomic Action Dataset with Curated Videos

We contribute HAA500, a manually annotated human-centric atomic action d...

2 Jihoon Chung, et al. ∙

research

∙ 08/27/2020

Pose-Guided High-Resolution Appearance Transfer via Progressive Training

We propose a novel pose-guided appearance transfer network for transferr...

0 Ji Liu, et al. ∙

research

∙ 07/26/2020

GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision

We present a novel end-to-end framework named as GSNet (Geometric and Sc...

3 Lei Ke, et al. ∙

research

∙ 07/24/2020

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Partially supervised instance segmentation aims to perform learning on l...

0 Qi Fan, et al. ∙

research

∙ 07/11/2020

Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching

Significant progress has been made in Video Object Segmentation (VOS), t...

0 Xuhua Huang, et al. ∙

research

∙ 06/14/2020

Cascaded deep monocular 3D human pose estimation with evolutionary training data

End-to-end deep representation learning has achieved remarkable accuracy...

0 Shichao Li, et al. ∙

research

∙ 05/06/2020

CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

State-of-the-art semantic segmentation methods were almost exclusively t...

0 Ho Kei Cheng, et al. ∙

research

∙ 10/12/2019

Template-Instance Loss for Offline Handwritten Chinese Character Recognition

The long-standing challenges for offline handwritten Chinese character r...

0 Yao Xiao, et al. ∙

research

∙ 08/02/2019

DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking

Psychological studies have found that human visual tracking system invol...

8 Zhenmei Shi, et al. ∙

research

∙ 07/29/2019

FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

Over the past few years, we have witnessed the success of deep learning ...

4 Tianhan Wei, et al. ∙

research

∙ 07/24/2019

StableNet: Semi-Online, Multi-Scale Deep Video Stabilization

Video stabilization algorithms are of greater importance nowadays with t...

4 Chia-Hung Huang, et al. ∙

research

∙ 04/25/2019

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

We propose a local adversarial disentangling network (LADN) for facial m...

20 Qiao Gu, et al. ∙

research

∙ 02/01/2018

Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters

We propose a novel approach for instance segmen- tation given an image o...

0 Zheng Wu, et al. ∙

research

∙ 11/26/2017

MAVOT: Memory-Augmented Video Object Tracking

We introduce a one-shot learning approach for video object tracking. The...

0 Boyu Liu, et al. ∙

research

∙ 11/24/2017

Sketch-to-Image Generation Using Deep Contextual Completion

When the input to pix2pix translation is a badly drawn sketch, the outpu...

0 Yongyi Lu, et al. ∙

research

∙ 11/24/2017

Deep High Dynamic Range Imaging with Large Foreground Motions

This paper proposes the first non-flow-based deep framework for high dyn...

0 Shangzhe Wu, et al. ∙

research

∙ 11/24/2017

End-to-End Deep HDR Imaging with Large Foreground Motions

This paper proposes the first end-to-end deep framework for high dynamic...

0 Shangzhe Wu, et al. ∙

research

∙ 11/23/2017

Deep Video Generation, Prediction and Completion of Human Action Sequences

Current deep learning results on video generation are limited while ther...

0 Haoye Cai, et al. ∙

research

∙ 11/20/2017

Adversarial Attacks Beyond the Image Space

Generating adversarial examples is an intriguing problem and an importan...

0 Xiaohui Zeng, et al. ∙

Chi-Keung Tang

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