b'Tianfei Zhou'

research

∙ 05/03/2023

CLUSTSEG: Clustering for Universal Segmentation

We present CLUSTSEG, a general, transformer-based framework that tackles...

0 James Liang, et al. ∙

research

∙ 04/03/2023

Learning Anchor Transformations for 3D Garment Animation

This paper proposes an anchor-based deformation model, namely AnchorDEF,...

0 Fang Zhao, et al. ∙

research

∙ 03/17/2023

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

The objective of this paper is self-supervised learning of video object ...

0 Liulei Li, et al. ∙

research

∙ 01/30/2023

FedFA: Federated Feature Augmentation

Federated learning is a distributed paradigm that allows multiple partie...

0 Tianfei Zhou, et al. ∙

research

∙ 11/28/2022

Unsupervised Superpixel Generation using Edge-Sparse Embedding

Partitioning an image into superpixels based on the similarity of pixels...

0 Jakob Geusen, et al. ∙

research

∙ 09/15/2022

Visual Recognition with Deep Nearest Centroids

We devise deep nearest centroids (DNC), a conceptually elegant yet surpr...

6 Wenguan Wang, et al. ∙

research

∙ 03/28/2022

Rethinking Semantic Segmentation: A Prototype View

Prevalent semantic segmentation solutions, despite their different netwo...

0 Tianfei Zhou, et al. ∙

research

∙ 03/27/2022

Deep Hierarchical Semantic Segmentation

Humans are able to recognize structured relations in observation, allowi...

7 Tianfei Zhou, et al. ∙

research

∙ 03/27/2022

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

Our target is to learn visual correspondence from unlabeled videos. We d...

2 Tianfei Zhou, et al. ∙

research

∙ 03/26/2022

Visual Abductive Reasoning

Abductive reasoning seeks the likeliest possible explanation for partial...

3 Chen Liang, et al. ∙

research

∙ 03/18/2022

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

We explore the task of language-guided video segmentation (LVS). Previou...

5 Chen Liang, et al. ∙

research

∙ 03/17/2022

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

Learning semantic segmentation from weakly-labeled (e.g., image tags onl...

0 Tianfei Zhou, et al. ∙

research

∙ 01/02/2022

Detail-Preserving Transformer for Light Field Image Super-Resolution

Recently, numerous algorithms have been developed to tackle the problem ...

0 Shunzhou Wang, et al. ∙

research

∙ 10/15/2021

Multi-modal Aggregation Network for Fast MR Imaging

Magnetic resonance (MR) imaging is a commonly used scanning technique fo...

0 Chun-Mei Feng, et al. ∙

research

∙ 07/02/2021

A Survey on Deep Learning Technique for Video Segmentation

Video segmentation, i.e., partitioning video frames into multiple segmen...

0 Wenguan Wang, et al. ∙

research

∙ 06/20/2021

Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

Despite recent progress of automatic medical image segmentation techniqu...

0 Tianfei Zhou, et al. ∙

research

∙ 06/02/2021

Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation

Referring video object segmentation (RVOS) aims to segment video objects...

0 Chen Liang, et al. ∙

research

∙ 04/10/2021

Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation

This paper addresses the task of unsupervised video multi-object segment...

0 Tianfei Zhou, et al. ∙

research

∙ 03/30/2021

Face Forensics in the Wild

On existing public benchmarks, face forgery detection techniques have ac...

0 Tianfei Zhou, et al. ∙

research

∙ 03/08/2021

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

To address the challenging task of instance-aware human part parsing, a ...

11 Tianfei Zhou, et al. ∙

research

∙ 02/26/2021

Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

Chest X-rays are an important and accessible clinical imaging tool for t...

11 Yi Zhou, et al. ∙

research

∙ 01/28/2021

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Current semantic segmentation methods focus only on mining "local" conte...

0 Wenguan Wang, et al. ∙

research

∙ 12/09/2020

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Acquiring sufficient ground-truth supervision to train deep visual model...

4 Xueyi Li, et al. ∙

research

∙ 07/23/2020

Weakly Supervised 3D Object Detection from Lidar Point Cloud

It is laborious to manually label point cloud data for training high-qua...

10 Qinghao Meng, et al. ∙

research

∙ 07/14/2020

Video Object Segmentation with Episodic Graph Memory Networks

How to make a segmentation model to efficiently adapt to a specific vide...

9 Xinkai Lu, et al. ∙

research

∙ 03/09/2020

Cascaded Human-Object Interaction Recognition

Rapid progress has been witnessed for human-object interaction (HOI) rec...

12 Tianfei Zhou, et al. ∙

research

∙ 03/09/2020

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

In this paper, we present a novel Motion-Attentive Transition Network (M...

2 Tianfei Zhou, et al. ∙

research

∙ 01/19/2015

Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking

Multiple Instance Learning (MIL) recently provides an appealing way to a...

0 Jinwu Liu, et al. ∙

research

∙ 10/28/2014

Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling

Stochastic sampling based trackers have shown good performance for abrup...

0 Tianfei Zhou, et al. ∙

Tianfei Zhou

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