b'Wenguan Wang'

research

∙ 08/24/2023

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

Recent advances in semi-supervised semantic segmentation have been heavi...

0 Chen Liang, et al. ∙

research

∙ 08/20/2023

Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation

Audio-visual navigation is an audio-targeted wayfinding task where a rob...

0 Jinyu Chen, et al. ∙

research

∙ 08/14/2023

DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation

VLN-CE is a recently released embodied task, where AI agents need to nav...

0 Hanqing Wang, et al. ∙

research

∙ 08/09/2023

Bird's-Eye-View Scene Graph for Vision-Language Navigation

Vision-language navigation (VLN), which entails an agent to navigate 3D ...

0 Rui Liu, et al. ∙

research

∙ 07/27/2023

Clustering based Point Cloud Representation Learning for 3D Analysis

Point cloud analysis (such as 3D segmentation and detection) is a challe...

0 Tuo Feng, et al. ∙

research

∙ 07/25/2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

As the size of transformer-based models continues to grow, fine-tuning t...

0 Cheng Han, et al. ∙

research

∙ 07/25/2023

Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation

We introduce a novel speaker model Kefa for navigation instruction gener...

0 Haitian Zeng, et al. ∙

research

∙ 05/11/2023

Segment and Track Anything

This report presents a framework called Segment And Track Anything (SAMT...

0 Yangming Cheng, et al. ∙

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

∙ 04/13/2023

Boosting Video Object Segmentation via Space-time Correspondence Learning

Current top-leading solutions for video object segmentation (VOS) typica...

0 Yurong Zhang, 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

∙ 03/15/2023

Lana: A Language-Capable Navigator for Instruction Following and Generation

Recently, visual-language navigation (VLN) – entailing robot agents to f...

0 Xiaohan Wang, et al. ∙

research

∙ 10/30/2022

Towards Versatile Embodied Navigation

With the emergence of varied visual navigation tasks (e.g, image-/object...

0 Hanqing Wang, et al. ∙

research

∙ 10/28/2022

Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing

Neural-symbolic computing (NeSy), which pursues the integration of the s...

0 Wenguan Wang, et al. ∙

research

∙ 10/05/2022

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Prevalent semantic segmentation solutions are, in essence, a dense discr...

26 Chen Liang, et al. ∙

research

∙ 10/03/2022

Learning Equivariant Segmentation with Instance-Unique Querying

Prevalent state-of-the-art instance segmentation methods fall into a que...

0 Wenguan Wang, 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

∙ 07/26/2022

Semi-supervised 3D Object Detection with Proficient Teachers

Dominated point cloud-based 3D object detectors in autonomous driving sc...

0 Junbo Yin, et al. ∙

research

∙ 07/26/2022

ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection

Existing approaches for unsupervised point cloud pre-training are constr...

0 Junbo Yin, et al. ∙

research

∙ 07/25/2022

Reference-based Image Super-Resolution with Deformable Attention Transformer

Reference-based image super-resolution (RefSR) aims to exploit auxiliary...

0 Jiezhang Cao, et al. ∙

research

∙ 07/19/2022

Target-Driven Structured Transformer Planner for Vision-Language Navigation

Vision-language navigation is the task of directing an embodied agent to...

0 Yusheng Zhao, et al. ∙

research

∙ 03/30/2022

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

Since the rise of vision-language navigation (VLN), great progress has b...

0 Hanqing 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

∙ 09/10/2021

TADA: Taxonomy Adaptive Domain Adaptation

Traditional domain adaptation addresses the task of adapting a model to ...

0 Rui Gong, 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

∙ 07/02/2021

Collaborative Visual Navigation

As a fundamental problem for Artificial Intelligence, multi-agent system...

5 Haiyang Wang, 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

∙ 05/14/2021

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

Language-queried video actor segmentation aims to predict the pixel-leve...

0 Tianrui Hui, 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

∙ 03/05/2021

Structured Scene Memory for Vision-Language Navigation

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

0 Hanqing Wang, 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

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, 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

∙ 07/15/2020

Active Visual Information Gathering for Vision-Language Navigation

Vision-language navigation (VLN) is the task of entailing an agent to ca...

0 Hanqing Wang, 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

∙ 07/03/2020

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

This paper studies the problem of learning semantic segmentation from im...

1 Guolei Sun, et al. ∙

research

∙ 03/25/2020

A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

Current popular online multi-object tracking (MOT) solutions apply singl...

2 Junbo Yin, et al. ∙

research

∙ 03/10/2020

Learning Video Object Segmentation from Unlabeled Videos

We propose a new method for video object segmentation (VOS) that address...

0 Xiankai Lu, et al. ∙

research

∙ 03/10/2020

Hierarchical Human Parsing with Typed Part-Relation Reasoning

Human parsing is for pixel-wise human semantic understanding. As human b...

0 Wenguan Wang, 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

∙ 01/19/2020

Human-Aware Motion Deblurring

This paper proposes a human-aware deblurring model that disentangles the...

1 Ziyi Shen, et al. ∙

research

∙ 01/19/2020

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

We introduce a novel network, called CO-attention Siamese Network (COSNe...

16 Xiankai Lu, et al. ∙

research

∙ 01/19/2020

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

This work proposes a novel attentive graph neural network (AGNN) for zer...

18 Wenguan Wang, et al. ∙

research

∙ 01/19/2020

Learning Compositional Neural Information Fusion for Human Parsing

This work proposes to combine neural networks with the compositional hie...

14 Wenguan Wang, et al. ∙

research

∙ 09/04/2019

Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning

This paper addresses a new problem of understanding human gaze communica...

7 Lifeng Fan, et al. ∙

Wenguan Wang

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