b'Jiaming Zhang'

research

∙ 09/21/2023

Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments

To integrate action recognition methods into autonomous robotic systems,...

0 Yifei Chen, et al. ∙

research

∙ 09/21/2023

Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision

Self-supervised representation learning for human action recognition has...

0 Yiping Wei, et al. ∙

research

∙ 08/25/2023

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Current prevailing Video Object Segmentation (VOS) methods usually perfo...

0 Jiaming Zhang, et al. ∙

research

∙ 07/28/2023

OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation of Road Scenes

Light field cameras can provide rich angular and spatial information to ...

0 Fei Teng, et al. ∙

research

∙ 07/15/2023

Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents

The mobile robot relies on SLAM (Simultaneous Localization and Mapping) ...

0 Ke Cao, et al. ∙

research

∙ 07/15/2023

Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments

Grounded Situation Recognition (GSR) is capable of recognizing and inter...

0 Ruiping Liu, et al. ∙

research

∙ 07/13/2023

Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks

Recently, the no-box adversarial attack, in which the attacker lacks acc...

0 Jiaming Zhang, et al. ∙

research

∙ 07/07/2023

Federated Unlearning via Active Forgetting

The increasing concerns regarding the privacy of machine learning models...

0 Yuyuan Li, et al. ∙

research

∙ 07/05/2023

Line Graphics Digitization: A Step Towards Full Automation

The digitization of documents allows for wider accessibility and reprodu...

0 Omar Moured, et al. ∙

research

∙ 05/15/2023

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition

Domain adaptation is essential for activity recognition, as common spati...

0 Kunyu Peng, et al. ∙

research

∙ 05/07/2023

Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving

A semantic map of the road scene, covering fundamental road elements, is...

7 Siyu Li, et al. ∙

research

∙ 04/12/2023

SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM

The Segment Anything Model (SAM) is a new image segmentation tool traine...

0 Yihao Liu, et al. ∙

research

∙ 03/24/2023

FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation

This paper raises the new task of Fisheye Semantic Completion (FSC), whe...

0 Hao Shi, et al. ∙

research

∙ 03/21/2023

360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View

Seeing only a tiny part of the whole is not knowing the full circumstanc...

0 Zhifeng Teng, et al. ∙

research

∙ 03/02/2023

Delivering Arbitrary-Modal Semantic Segmentation

Multimodal fusion can make semantic segmentation more robust. However, f...

0 Jiaming Zhang, et al. ∙

research

∙ 03/02/2023

MuscleMap: Towards Video-based Activated Muscle Group Estimation

In this paper, we tackle the new task of video-based Activated Muscle Gr...

0 Kunyu Peng, et al. ∙

research

∙ 02/28/2023

MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments

Wearable robotics can improve the lives of People with Visual Impairment...

0 Junwei Zheng, et al. ∙

research

∙ 12/31/2022

Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples

There is a growing interest in developing unlearnable examples (UEs) aga...

0 Jiaming Zhang, et al. ∙

research

∙ 12/20/2022

Full-Life Cycle Intent-Driven Network Verification: Challenges and Approaches

With the human friendly declarative intent policy expression, intent-dri...

0 Yanbo Song, et al. ∙

research

∙ 11/21/2022

Computational Optics Meet Domain Adaptation: Transferring Semantic Segmentation Beyond Aberrations

Semantic scene understanding with Minimalist Optical Systems (MOS) in mo...

0 Qi Jiang, et al. ∙

research

∙ 07/25/2022

Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation

In this paper, we address panoramic semantic segmentation, which provide...

6 Jiaming Zhang, et al. ∙

research

∙ 07/13/2022

Trans4Map: Revisiting Holistic Top-down Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers

Humans have an innate ability to sense their surroundings, as they can e...

5 Chang Chen, et al. ∙

research

∙ 07/13/2022

Multi-modal Depression Estimation based on Sub-attentional Fusion

Failure to timely diagnose and effectively treat depression leads to ove...

8 Ping-Cheng Wei, et al. ∙

research

∙ 06/19/2022

JPEG Compression-Resistant Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System

It has been observed that the unauthorized use of face recognition syste...

11 Jiaming Zhang, et al. ∙

research

∙ 06/19/2022

Towards Adversarial Attack on Vision-Language Pre-training Models

While vision-language pre-training model (VLP) has shown revolutionary i...

11 Jiaming Zhang, et al. ∙

research

∙ 04/03/2022

Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor

Exploring an unfamiliar indoor environment and avoiding obstacles is cha...

6 Wenyan Ou, et al. ∙

research

∙ 03/19/2022

Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning

Autonomous vehicles utilize urban scene segmentation to understand the r...

8 Xinyu Luo, et al. ∙

research

∙ 03/17/2022

MatchFormer: Interleaving Attention in Transformers for Feature Matching

Local feature matching is a computationally intensive task at the subpix...

5 Qing Wang, et al. ∙

research

∙ 03/09/2022

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

The performance of semantic segmentation of RGB images can be advanced b...

9 Huayao Liu, et al. ∙

research

∙ 03/02/2022

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Panoramic images with their 360-degree directional view encompass exhaus...

4 Jiaming Zhang, et al. ∙

research

∙ 03/02/2022

TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration

Traditional video-based human activity recognition has experienced remar...

39 Kunyu Peng, et al. ∙

research

∙ 02/27/2022

Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes

For scene understanding in robotics and automated driving, there is a gr...

6 Ruiping Liu, et al. ∙

research

∙ 02/23/2022

ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers

Automatically understanding human behaviour allows household robots to i...

15 Kunyu Peng, et al. ∙

research

∙ 02/01/2022

Should I take a walk? Estimating Energy Expenditure from Video Data

We explore the problem of automatically inferring the amount of kilocalo...

6 Kunyu Peng, et al. ∙

research

∙ 12/09/2021

Exploring Event-driven Dynamic Context for Accident Scene Segmentation

The robustness of semantic segmentation on edge cases of traffic scene i...

0 Jiaming Zhang, et al. ∙

research

∙ 10/21/2021

Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation

Autonomous vehicles clearly benefit from the expanded Field of View (FoV...

0 Jiaming Zhang, et al. ∙

research

∙ 08/20/2021

Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance

Transparent objects, such as glass walls and doors, constitute architect...

4 Jiaming Zhang, et al. ∙

research

∙ 08/16/2021

Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation

Lacking the ability to sense ambient environments effectively, blind and...

0 Haobin Tan, et al. ∙

research

∙ 08/13/2021

DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange

Intelligent vehicles clearly benefit from the expanded Field of View (Fo...

0 Chaoxiang Ma, et al. ∙

research

∙ 07/26/2021

Benign Adversarial Attack: Tricking Algorithm for Goodness

In spite of the successful application in many fields, machine learning ...

7 Xian Zhao, et al. ∙

research

∙ 07/19/2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues

Data quality is a common problem in machine learning, especially in high...

12 Mohamed Abdelhack, et al. ∙

research

∙ 07/07/2021

HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor

Independently exploring unknown spaces or finding objects in an indoor e...

0 Huayao Liu, et al. ∙

research

∙ 07/07/2021

Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World

Common fully glazed facades and transparent objects present architectura...

0 Jiaming Zhang, et al. ∙

research

∙ 07/01/2021

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

At the heart of all automated driving systems is the ability to sense th...

1 Kunyu Peng, et al. ∙

research

∙ 06/21/2021

Pre-training also Transfers Non-Robustness

Pre-training has enabled many state-of-the-art results on many tasks. In...

0 Jiaming Zhang, et al. ∙

research

∙ 05/27/2021

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction

Drones have become a common tool, which is utilized in many tasks such a...

0 Zdravko Marinov, et al. ∙

research

∙ 05/12/2021

Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks

In recent years, the robotics community has made substantial progress in...

0 Zhihao Li, et al. ∙

research

∙ 03/09/2021

Capturing Omni-Range Context for Omnidirectional Segmentation

Convolutional Networks (ConvNets) excel at semantic segmentation and hav...

8 Kailun Yang, et al. ∙

research

∙ 03/06/2021

Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired

As the scene information, including objectness and scene type, are impor...

0 Yingzhi Zhang, et al. ∙

research

∙ 03/06/2021

Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired

Classic computer vision algorithms, instance segmentation, and semantic ...

0 Wei Mao, et al. ∙

Jiaming Zhang

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