no code implementations • 22 May 2024 • Omar Moured, Jiaming Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen
Chart summarization is a crucial task for blind and visually impaired individuals as it is their primary means of accessing and interpreting graphical data.
no code implementations • 9 May 2024 • Siyu Li, Jiacheng Lin, Hao Shi, Jiaming Zhang, Song Wang, You Yao, Zhiyong Li, Kailun Yang
In this paper, we revisit the temporal fusion of vectorized HD maps, focusing on temporal instance consistency and temporal map consistency learning.
1 code implementation • 26 Mar 2024 • Yihao Liu, Jiaming Zhang, Andres Diaz-Pinto, Haowei Li, Alejandro Martin-Gomez, Amir Kheradmand, Mehran Armand
To this end, a unified platform helps push the boundary of the foundation model for medical images, facilitating the use, modification, and validation of SAM and its variants in medical image segmentation.
no code implementations • 24 Mar 2024 • Jiaming Zhang, Zhaomeng Zhang, Yihao Liu, Yaqian Chen, Amir Kheradmand, Mehran Armand
We propose a robust method to estimate the shape of linear deformable objects in realtime using scattered and unordered key points.
no code implementations • 21 Mar 2024 • Yufan Chen, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ruiping Liu, Philip Torr, Rainer Stiefelhagen
To address this, we are the first to introduce a robustness benchmark for DLA models, which includes 450K document images of three datasets.
1 code implementation • 15 Mar 2024 • Yi Xu, Kunyu Peng, Di Wen, Ruiping Liu, Junwei Zheng, Yufan Chen, Jiaming Zhang, Alina Roitberg, Kailun Yang, Rainer Stiefelhagen
In this study, we bridge this gap by implementing a framework that augments well-established skeleton-based human action recognition methods with label-denoising strategies from various research areas to serve as the initial benchmark.
no code implementations • 13 Mar 2024 • Hao Shi, Song Wang, Jiaming Zhang, Xiaoting Yin, Zhongdao Wang, Zhijian Zhao, Guangming Wang, Jianke Zhu, Kailun Yang, Kaiwei Wang
Vision-based occupancy prediction, also known as 3D Semantic Scene Completion (SSC), presents a significant challenge in computer vision.
no code implementations • 4 Feb 2024 • Weizheng Lu, Jiaming Zhang, Jing Zhang, Yueguo Chen
Tables, typically two-dimensional and structured to store large amounts of data, are essential in daily activities like database queries, spreadsheet calculations, and generating reports from web tables.
1 code implementation • 30 Jan 2024 • Fei Teng, Jiaming Zhang, Jiawei Liu, Kunyu Peng, Xina Cheng, Zhiyong Li, Kailun Yang
Previous approaches predominantly employ a custom two-stream design to discover the implicit angular feature within light field cameras, leading to significant information isolation between different LF representations.
1 code implementation • 30 Jan 2024 • Ruiping Liu, Jiaming Zhang, Kunyu Peng, Yufan Chen, Ke Cao, Junwei Zheng, M. Saquib Sarfraz, Kailun Yang, Rainer Stiefelhagen
Integrating information from multiple modalities enhances the robustness of scene perception systems in autonomous vehicles, providing a more comprehensive and reliable sensory framework.
1 code implementation • 11 Dec 2023 • Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones.
1 code implementation • 19 Nov 2023 • Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
With the rapid advancement of multimodal learning, pre-trained Vision-Language Models (VLMs) such as CLIP have demonstrated remarkable capacities in bridging the gap between visual and language modalities.
1 code implementation • 4 Oct 2023 • Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehicles and enhances road safety.
Ranked #2 on 3D Object Detection on Rope3D
1 code implementation • 21 Sep 2023 • Yiping Wei, Kunyu Peng, Alina Roitberg, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen
These works overlooked the differences in performance among modalities, which led to the propagation of erroneous knowledge between modalities while only three fundamental modalities, i. e., joints, bones, and motions are used, hence no additional modalities are explored.
1 code implementation • 21 Sep 2023 • Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen
To integrate action recognition methods into autonomous robotic systems, it is crucial to consider adverse situations involving target occlusions.
no code implementations • 25 Aug 2023 • Jiaming Zhang, Yutao Cui, Gangshan Wu, LiMin Wang
To overcome these issues, we propose a unified VOS framework, coined as JointFormer, for joint modeling the three elements of feature, correspondence, and a compressed memory.
2 code implementations • 28 Jul 2023 • Fei Teng, Jiaming Zhang, Kunyu Peng, Yaonan Wang, Rainer Stiefelhagen, Kailun Yang
To avoid feature loss during network propagation and simultaneously streamline the redundant information from the light field camera, we present a simple yet very effective Sub-Aperture Fusion Module (SAFM) to embed sub-aperture images into angular features without any additional memory cost.
1 code implementation • 15 Jul 2023 • Ruiping Liu, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ke Cao, Yufan Chen, Kailun Yang, Rainer Stiefelhagen
Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved entities (roles) depicted in images.
no code implementations • 15 Jul 2023 • Ke Cao, Ruiping Liu, Ze Wang, Kunyu Peng, Jiaming Zhang, Junwei Zheng, Zhifeng Teng, Kailun Yang, Rainer Stiefelhagen
On the other hand, the entire line segment detected by the visual subsystem overcomes the limitation of the LiDAR subsystem, which can only perform the local calculation for geometric features.
no code implementations • 13 Jul 2023 • Jiaming Zhang, Jitao Sang, Qi Yi, Changsheng Xu
Harnessing the concept of non-robust features, we elaborate on two guiding principles for surrogate model selection to explain why the foundational model is an optimal choice for this role.
no code implementations • 7 Jul 2023 • Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang
To this end, we propose a novel federated unlearning framework based on incremental learning, which is independent of specific models and federated settings.
1 code implementation • 5 Jul 2023 • Omar Moured, Jiaming Zhang, Alina Roitberg, Thorsten Schwarz, Rainer Stiefelhagen
The digitization of documents allows for wider accessibility and reproducibility.
2 code implementations • 15 May 2023 • Kunyu Peng, Di Wen, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
In this work, we focus on Few-Shot Domain Adaptation for Activity Recognition (FSDA-AR), which leverages a very small amount of labeled target videos to achieve effective adaptation.
1 code implementation • 7 May 2023 • Siyu Li, Kailun Yang, Hao Shi, Jiaming Zhang, Jiacheng Lin, Zhifeng Teng, Zhiyong Li
At the same time, an Across-Space Loss (ASL) is designed to mitigate the negative impact of geometric distortions.
1 code implementation • 12 Apr 2023 • Yihao Liu, Jiaming Zhang, Zhangcong She, Amir Kheradmand, Mehran Armand
To assist with the development, assessment, and application of SAM on medical images, we introduce Segment Any Medical Model (SAMM), an extension of SAM on 3D Slicer - an image processing and visualization software extensively used by the medical imaging community.
1 code implementation • 24 Mar 2023 • Hao Shi, Yu Li, Kailun Yang, Jiaming Zhang, Kunyu Peng, Alina Roitberg, Yaozu Ye, Huajian Ni, Kaiwei Wang, Rainer Stiefelhagen
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-view (FoV).
1 code implementation • 21 Mar 2023 • Zhifeng Teng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Hao Shi, Simon Reiß, Ke Cao, Rainer Stiefelhagen
Seeing only a tiny part of the whole is not knowing the full circumstance.
1 code implementation • CVPR 2023 • Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen
To make this possible, we present the arbitrary cross-modal segmentation model CMNeXt.
Ranked #1 on Semantic Segmentation on DSEC
1 code implementation • 2 Mar 2023 • Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, Chen Deng, Kaiyu Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen
In this paper, we tackle the new task of video-based Activated Muscle Group Estimation (AMGE) aiming at identifying active muscle regions during physical activity in the wild.
1 code implementation • 28 Feb 2023 • Junwei Zheng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen
People with Visual Impairments (PVI) typically recognize objects through haptic perception.
1 code implementation • CVPR 2023 • Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, YaoWei Wang, Changsheng Xu
Furthermore, we propose to leverage VisionandLanguage Pre-trained Models (VLPMs) like CLIP as the surrogate model to improve the transferability of the crafted UCs to diverse domains.
1 code implementation • 21 Nov 2022 • Qi Jiang, Hao Shi, Shaohua Gao, Jiaming Zhang, Kailun Yang, Lei Sun, Huajian Ni, Kaiwei Wang
Further, we propose Computational Imaging Assisted Domain Adaptation (CIADA) to leverage prior knowledge of CI for robust performance in SSOA.
1 code implementation • 25 Jul 2022 • Jiaming Zhang, Kailun Yang, Hao Shi, Simon Reiß, Kunyu Peng, Chaoxiang Ma, Haodong Fu, Philip H. S. Torr, Kaiwei Wang, Rainer Stiefelhagen
In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360{\deg} imagery.
Ranked #1 on Semantic Segmentation on SynPASS
1 code implementation • 13 Jul 2022 • Ping-Cheng Wei, Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
Failure to timely diagnose and effectively treat depression leads to over 280 million people suffering from this psychological disorder worldwide.
1 code implementation • 13 Jul 2022 • Chang Chen, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen
Humans have an innate ability to sense their surroundings, as they can extract the spatial representation from the egocentric perception and form an allocentric semantic map via spatial transformation and memory updating.
1 code implementation • 19 Jun 2022 • Jiaming Zhang, Qi Yi, Jitao Sang
While vision-language pre-training model (VLP) has shown revolutionary improvements on various vision-language (V+L) tasks, the studies regarding its adversarial robustness remain largely unexplored.
no code implementations • 19 Jun 2022 • Jiaming Zhang, Qi Yi, Dongyuan Lu, Jitao Sang
In light of the growing concerns regarding the unauthorized use of facial recognition systems and its implications on individual privacy, the exploration of adversarial perturbations as a potential countermeasure has gained traction.
no code implementations • 3 Apr 2022 • Wenyan Ou, Jiaming Zhang, Kunyu Peng, Kailun Yang, Gerhard Jaworek, Karin Müller, Rainer Stiefelhagen
Then, poses and speed of tracked dynamic objects can be estimated, which are passed to the users through acoustic feedback.
1 code implementation • 19 Mar 2022 • Xinyu Luo, Jiaming Zhang, Kailun Yang, Alina Roitberg, Kunyu Peng, Rainer Stiefelhagen
Autonomous vehicles utilize urban scene segmentation to understand the real world like a human and react accordingly.
Ranked #1 on Semantic Segmentation on DADA-seg (using extra training data)
1 code implementation • 17 Mar 2022 • Qing Wang, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen
While detector-based methods coupled with feature descriptors struggle in low-texture scenes, CNN-based methods with a sequential extract-to-match pipeline, fail to make use of the matching capacity of the encoder and tend to overburden the decoder for matching.
1 code implementation • 9 Mar 2022 • Jiaming Zhang, Huayao Liu, Kailun Yang, Xinxin Hu, Ruiping Liu, Rainer Stiefelhagen
Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary modality (X-modality).
Ranked #1 on Semantic Segmentation on SpectralWaste
1 code implementation • CVPR 2022 • Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen
To get around this domain difference and bring together semantic annotations from pinhole- and 360-degree surround-visuals, we propose to learn object deformations and panoramic image distortions in the Deformable Patch Embedding (DPE) and Deformable MLP (DMLP) components which blend into our Transformer for PAnoramic Semantic Segmentation (Trans4PASS) model.
Ranked #2 on Semantic Segmentation on SynPASS
1 code implementation • 2 Mar 2022 • Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
This module operates in the latent feature-space enriching and diversifying the training set at feature-level in order to improve generalization to novel data appearances, (e. g., sensor changes) and general feature quality.
2 code implementations • 27 Feb 2022 • Ruiping Liu, Kailun Yang, Alina Roitberg, Jiaming Zhang, Kunyu Peng, Huayao Liu, Yaonan Wang, Rainer Stiefelhagen
Semantic segmentation benchmarks in the realm of autonomous driving are dominated by large pre-trained transformers, yet their widespread adoption is impeded by substantial computational costs and prolonged training durations.
2 code implementations • 23 Feb 2022 • Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
Yet, the research of data-scarce recognition from skeleton sequences, such as one-shot action recognition, does not explicitly consider occlusions despite their everyday pervasiveness.
Ranked #1 on Action Classification on Toyota Smarthome dataset (Accuracy metric)
1 code implementation • 1 Feb 2022 • Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
To study this underresearched task, we introduce Vid2Burn -- an omni-source benchmark for estimating caloric expenditure from video data featuring both, high- and low-intensity activities for which we derive energy expenditure annotations based on models established in medical literature.
1 code implementation • 9 Dec 2021 • Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Moreover, in order to evaluate the segmentation performance in traffic accidents, we provide a pixel-wise annotated accident dataset, namely DADA-seg, which contains a variety of critical scenarios from traffic accidents.
Ranked #3 on Semantic Segmentation on DADA-seg (using extra training data)
1 code implementation • 21 Oct 2021 • Jiaming Zhang, Chaoxiang Ma, Kailun Yang, Alina Roitberg, Kunyu Peng, Rainer Stiefelhagen
We look at this problem from the perspective of domain adaptation and bring panoramic semantic segmentation to a setting, where labelled training data originates from a different distribution of conventional pinhole camera images.
Ranked #7 on Semantic Segmentation on DensePASS (using extra training data)
1 code implementation • 20 Aug 2021 • Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
In this paper, we build a wearable system with a novel dual-head Transformer for Transparency (Trans4Trans) perception model, which can segment general- and transparent objects.
Ranked #2 on Semantic Segmentation on DADA-seg (using extra training data)
1 code implementation • 16 Aug 2021 • Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen
By recognizing the color of pedestrian traffic lights, our prototype can help the user to cross a street safely.
1 code implementation • 13 Aug 2021 • Chaoxiang Ma, Jiaming Zhang, Kailun Yang, Alina Roitberg, Rainer Stiefelhagen
First, we formalize the task of unsupervised domain adaptation for panoramic semantic segmentation, where a network trained on labelled examples from the source domain of pinhole camera data is deployed in a different target domain of panoramic images, for which no labels are available.
no code implementations • 26 Jul 2021 • Jitao Sang, Xian Zhao, Jiaming Zhang, Zhiyu Lin
In spite of the successful application in many fields, machine learning models today suffer from notorious problems like vulnerability to adversarial examples.
1 code implementation • 19 Jul 2021 • Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A Fritz, Daniel Felsky, Michael S Avidan, Yixin Chen, Christopher R King
Data missingness and quality are common problems in machine learning, especially for high-stakes applications such as healthcare.
1 code implementation • 7 Jul 2021 • Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
Common fully glazed facades and transparent objects present architectural barriers and impede the mobility of people with low vision or blindness, for instance, a path detected behind a glass door is inaccessible unless it is correctly perceived and reacted.
Ranked #1 on Semantic Segmentation on Trans10K
no code implementations • 7 Jul 2021 • Huayao Liu, Ruiping Liu, Kailun Yang, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen
To tackle these issues, we propose HIDA, a lightweight assistive system based on 3D point cloud instance segmentation with a solid-state LiDAR sensor, for holistic indoor detection and avoidance.
Ranked #18 on 3D Instance Segmentation on ScanNet(v2)
1 code implementation • 1 Jul 2021 • Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen
At the heart of all automated driving systems is the ability to sense the surroundings, e. g., through semantic segmentation of LiDAR sequences, which experienced a remarkable progress due to the release of large datasets such as SemanticKITTI and nuScenes-LidarSeg.
1 code implementation • 21 Jun 2021 • Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu
ImageNet pre-training has enabled state-of-the-art results on many tasks.
1 code implementation • 27 May 2021 • Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen
Our framework provides the functionality to control the movement of the drone with simple arm gestures and to follow the user while keeping a safe distance.
1 code implementation • CVPR 2021 • Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen
Convolutional Networks (ConvNets) excel at semantic segmentation and have become a vital component for perception in autonomous driving.
Ranked #10 on Semantic Segmentation on DensePASS (using extra training data)
1 code implementation • 6 Mar 2021 • Wei Mao, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Based on Lintention, we then devise a novel panoptic segmentation model which we term Panoptic Lintention Net.
no code implementations • 6 Mar 2021 • Yingzhi Zhang, Haoye Chen, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
As the scene information, including objectness and scene type, are important for people with visual impairment, in this work we present a multi-task efficient perception system for the scene parsing and recognition tasks.
no code implementations • 4 Mar 2021 • Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Frans Coenen, Jiaming Zhang, Jionglong Su
To address the flaws in the geometric algorithms, we propose a novel framework based on image-to-image translation to learn a pertinent mapping dependence for synthesizing straightened chromosomes with uninterrupted banding patterns and preserved details.
1 code implementation • 20 Aug 2020 • Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Ensuring the safety of all traffic participants is a prerequisite for bringing intelligent vehicles closer to practical applications.
Ranked #6 on Semantic Segmentation on KITTI-360
2 code implementations • 25 Jul 2020 • Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu
While widely adopted in practical applications, face recognition has been critically discussed regarding the malicious use of face images and the potential privacy problems, e. g., deceiving payment system and causing personal sabotage.
no code implementations • 20 Jul 2020 • Wei Mao, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Navigational perception for visually impaired people has been substantially promoted by both classic and deep learning based segmentation methods.
no code implementations • 22 Apr 2019 • Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human.
no code implementations • 24 Nov 2018 • Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Jian Yu
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.