Search Results for author: Dapeng Chen

Found 40 papers, 11 papers with code

A Survey on Hallucination in Large Vision-Language Models

no code implementations1 Feb 2024 Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao, Ke Wang, Liping Hou, Rongjun Li, Wei Peng

In this comprehensive survey, we dissect LVLM-related hallucinations in an attempt to establish an overview and facilitate future mitigation.

Hallucination

Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition

no code implementations27 Nov 2023 Yifei Chen, Dapeng Chen, Ruijin Liu, Sai Zhou, Wenyuan Xue, Wei Peng

With the aligned entities, we feed their text embeddings to a transformer-based video adapter as the queries, which can help extract the semantics of the most important entities from a video to a vector.

Action Recognition Representation Learning +1

PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer

no code implementations29 Aug 2023 Ruijin Liu, Ning Lu, Dapeng Chen, Cheng Li, Zejian yuan, Wei Peng

We present PBFormer, an efficient yet powerful scene text detector that unifies the transformer with a novel text shape representation Polynomial Band (PB).

ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition

no code implementations15 Aug 2023 Wenyuan Xue, Dapeng Chen, Baosheng Yu, Yifei Chen, Sai Zhou, Wei Peng

Visual chart recognition systems are gaining increasing attention due to the growing demand for automatically identifying table headers and values from chart images.

Keypoint Detection

Video Action Recognition with Attentive Semantic Units

no code implementations ICCV 2023 Yifei Chen, Dapeng Chen, Ruijin Liu, Hao Li, Wei Peng

Supervised by the semantics of action labels, recent works adapt the visual branch of VLMs to learn video representations.

Action Recognition Temporal Action Localization +1

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling

no code implementations CVPR 2023 Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, Wei Peng

The ablation study also validates that the proposed coordinate sequence decoder and the visual-alignment loss are the keys to the success of our method.

FNeVR: Neural Volume Rendering for Face Animation

1 code implementation21 Sep 2022 Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang

In FNeVR, we design a 3D Face Volume Rendering (FVR) module to enhance the facial details for image rendering.

Talking Face Generation

Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification

no code implementations9 Jul 2022 Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, ZongYuan Ge, Farid Boussaid, Mohammed Bennamoun, Jialie Shen

In this paper, we present a pseudo-pair based self-similarity learning approach for unsupervised person re-ID without human annotations.

Unsupervised Person Re-Identification

Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

1 code implementation31 Dec 2021 Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian yuan

In this task, the correct camera pose is the key to generating accurate lanes, which can transform an image from perspective-view to the top-view.

3D Lane Detection Autonomous Vehicles +2

Mutual CRF-GNN for Few-Shot Learning

no code implementations CVPR 2021 Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang

In this MCGN, the labels and features of support data are used by the CRF for inferring GNN affinities in a principled and probabilistic way.

Few-Shot Learning

Layerwise Optimization by Gradient Decomposition for Continual Learning

no code implementations CVPR 2021 Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang

The gradient for update should be close to the gradient of the new task, consistent with the gradients shared by all old tasks, and orthogonal to the space spanned by the gradients specific to the old tasks.

Continual Learning

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification

no code implementations16 May 2021 Shijie Yu, Dapeng Chen, Rui Zhao, Haobin Chen, Yu Qiao

Person images captured by surveillance cameras are often occluded by various obstacles, which lead to defective feature representation and harm person re-identification (Re-ID) performance.

Person Re-Identification

Complementary Relation Contrastive Distillation

1 code implementation CVPR 2021 Jinguo Zhu, Shixiang Tang, Dapeng Chen, Shijie Yu, Yakun Liu, Aijun Yang, Mingzhe Rong, Xiaohua Wang

Specifically, we estimate the mutual relation in an anchor-based way and distill the anchor-student relation under the supervision of its corresponding anchor-teacher relation.

Knowledge Distillation Relation

Gradient Regularized Contrastive Learning for Continual Domain Adaptation

no code implementations23 Mar 2021 Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang

To better understand this issue, we study the problem of continual domain adaptation, where the model is presented with a labelled source domain and a sequence of unlabelled target domains.

Contrastive Learning Domain Adaptation

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID

2 code implementations24 Aug 2020 Yixiao Ge, Shijie Yu, Dapeng Chen

SDA, a domain-translation-based framework, focuses on carefully translating the source-domain images to the target domain.

Domain Adaptation Pseudo Label +1

Continual Representation Learning for Biometric Identification

1 code implementation8 Jun 2020 Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao

With the explosion of digital data in recent years, continuously learning new tasks from a stream of data without forgetting previously acquired knowledge has become increasingly important.

Continual Learning Knowledge Distillation +1

COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification

no code implementations CVPR 2020 Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao

To address the clothes changing person re-id problem, we construct a novel large-scale re-id benchmark named ClOthes ChAnging Person Set (COCAS), which provides multiple images of the same identity with different clothes.

Person Re-Identification

Learning to Cluster Faces via Confidence and Connectivity Estimation

3 code implementations CVPR 2020 Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin

With the vertex confidence and edge connectivity, we can naturally organize more relevant vertices on the affinity graph and group them into clusters.

Clustering Connectivity Estimation +2

Adapting Object Detectors with Conditional Domain Normalization

no code implementations ECCV 2020 Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang

Then this domain-vector is used to encode the features from another domain through a conditional normalization, resulting in different domains' features carrying the same domain attribute.

3D Object Detection Attribute +2

Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

4 code implementations14 Mar 2020 Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li

To tackle the challenges, we propose an end-to-end structured domain adaptation framework with an online relation-consistency regularization term.

Pseudo Label Relation +3

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

2 code implementations ICLR 2020 Yixiao Ge, Dapeng Chen, Hongsheng Li

In order to mitigate the effects of noisy pseudo labels, we propose to softly refine the pseudo labels in the target domain by proposing an unsupervised framework, Mutual Mean-Teaching (MMT), to learn better features from the target domain via off-line refined hard pseudo labels and on-line refined soft pseudo labels in an alternative training manner.

Clustering Pseudo Label +2

Learning to Cluster Faces on an Affinity Graph

3 code implementations CVPR 2019 Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin

Face recognition sees remarkable progress in recent years, and its performance has reached a very high level.

Clustering Face Recognition +1

Deep Group-shuffling Random Walk for Person Re-identification

1 code implementation CVPR 2018 Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang

Person re-identification aims at finding a person of interest in an image gallery by comparing the probe image of this person with all the gallery images.

Person Re-Identification Retrieval

Person Re-identification with Deep Similarity-Guided Graph Neural Network

no code implementations ECCV 2018 Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang

However, existing person re-identification models mostly estimate the similarities of different image pairs of probe and gallery images independently while ignores the relationship information between different probe-gallery pairs.

Person Re-Identification Relation

Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding

no code implementations CVPR 2018 Dapeng Chen, Hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang

The attention weights are obtained based on a query feature, which is learned from the whole probe snippet by an LSTM network, making the resulting embeddings less affected by noisy frames.

Video-Based Person Re-Identification

Group Consistent Similarity Learning via Deep CRF for Person Re-Identification

no code implementations CVPR 2018 Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang

Extensive experiments demonstrate the effectiveness of our model that combines DNN and CRF for learning robust multi-scale local similarities.

Person Re-Identification

Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection

no code implementations8 Jan 2018 Jie Lyu, Zejian yuan, Dapeng Chen

For real-world driver drowsiness detection from videos, the variation of head pose is so large that the existing methods on global face is not capable of extracting effective features, such as looking aside and lowering head.

Learning Fixation Point Strategy for Object Detection and Classification

no code implementations19 Dec 2017 Jie Lyu, Zejian yuan, Dapeng Chen

The network can learn to extract a sequence of local observations with detailed appearance and rough context, instead of sliding windows or convolutions on the entire image.

Classification General Classification +3

Weighted Motion Averaging for the Registration of Multi-View Range Scans

no code implementations21 Feb 2017 Rui Guo, Jihua Zhu, Yaochen Li, Dapeng Chen, Zhongyu Li, Yongqin Zhang

With the overlapping percentage available, it views the overlapping percentage as the corresponding weight of each scan pair and proposes the weight motion averaging algorithm, which can pay more attention to reliable and accurate relative motions.

3D Reconstruction

Coordinating Multiple Disparity Proposals for Stereo Computation

no code implementations CVPR 2016 Ang Li, Dapeng Chen, Yuanliu liu, Zejian yuan

While great progress has been made in stereo computation over the last decades, large textureless regions remain challenging.

Similarity Learning With Spatial Constraints for Person Re-Identification

no code implementations CVPR 2016 Dapeng Chen, Zejian yuan, Badong Chen, Nanning Zheng

We therefore learn a novel similarity function, which consists of multiple sub-similarity measurements with each taking in charge of a subregion.

Person Re-Identification

Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification

no code implementations CVPR 2015 Dapeng Chen, Zejian yuan, Gang Hua, Nanning Zheng, Jingdong Wang

We follow the learning-to-rank methodology and learn a similarity function to maximize the difference between the similarity scores of matched and unmatched images for a same person.

Learning-To-Rank Patch Matching +1

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