Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileAcademic lineage
Possible advisorsa guess from early papers, not confirmed
- Bing ZengSuggested from co-authorship
Is this you? Claim this profile to confirm or dismiss it.
Works161 from public data
- Rethinking the Competition Between Detection and ReID in Multiobject Tracking409
A novel reciprocal network (REN) with a self-relation and cross-relation design so that to impel each branch to better learn task-dependent representations learning is proposed to alleviate the deleterious tasks competition and improve the cooperation between detection and ReID.
- Contactless WiFi Sensing and Monitoring for Future Healthcare - Emerging Trends, Challenges, and Opportunities113
The current state-of-the-art research on collecting and analyzing channel state information extracted using ubiquitous WiFi signals is reviewed, describing a range of healthcare applications and identifying a series of open research challenges.
- 110
- 101
- 67
- 64
- 58
- 52
- 47
- No reference image quality assessment metric via multi-domain structural information and piecewise regression47
This paper develops a new local image representation which extracts the structural image information from both the spatial-frequency and spatial domains and develops an efficient piecewise regression method to capture the local distribution of the feature space.
- 41
- The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report39
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution, emphasizing groundbreaking advancements in state-of-the-art single-image ESR techniques.
- 39
- 38
- 38
- 38
- 36
- Processing-Aware Privacy-Preserving Photo Sharing over Online Social Networks34
This work addresses the problem of designing privacy-preserving, high-fidelity, storage-efficient photo sharing solution over Facebook and suggests a DCT-domain image encryption scheme that is robust against these lossy operations.
- 34
- CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement32
The Coding Priors-Guided Aggregation (CPGA) network to utilize temporal and spatial information from coding priors to remedy the shortage of previous datasets on the lack of coding information is proposed.
- Robust Privacy-Preserving Image Sharing over Online Social Networks (OSNs)32
This article considers the problem of designing a secure, robust, high-fidelity, storage-efficient image-sharing scheme over Facebook, a representative OSN that is widely accessed and proposes a DCT-domain image encryption/decryption framework that is robust against these lossy operations.
- 29
- Ntire 2025 Challenge on Short-Form Ugc Video Quality Assessment and Enhancement: Methods and Results26
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement, and introduces a new short-form UGC dataset tailored for single-image super-resolution, i.e., the KwaiSR dataset.
- 26
- 25
- Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure24
A quality enhancement network of versatile video coding (VVC) compressed videos is proposed by jointly exploiting spatial details and temporal structure (SDTS) by combining temporal structure fusion and spatial detail enhancement subnets.
- 24
- NTIRE 2025 Challenge on Image Super-Resolution ($\times 4$): Methods and Results23
The NTIRE 2025 image super-resolution ($\times 4$) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025, aims to recover high-resolution images from low-resolution counterparts generated through bicubic downsampling with a $\times 4$ scaling factor.
- 23
- 23
- 22
- 21
- 21
- 20
- 20
- 20
- 20
- Bird breed classification and annotation using saliency based graphical model20
A saliency based graphical model (GMS) is proposed, which can precisely annotate the object on the pixel level and can achieve better results compared with existing bird breed classification methods based on graphical model.
- NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)19
A comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait, and comprehensively evaluates the proposed algorithms utilizing a hybrid evaluation system that integrates objective quantitative metrics with rigorous subjective assessment protocols.
- Joint Demosaicing and Denoising for Spike Camera19
This paper designs a color spike representation (CSR) to learn latent representation from Bayer-pattern spike streams, and proposes an iterative joint demosaicing and denoising network (SJDD-Net) for spike cameras based on the observation model.
- DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation19
A deep network is proposed that compensates for the motions caused by the OIS, such that the gyroscopes can be used for image alignment on the O IS cameras, delivering strong robustness and comparable results with a relatively large margin.
- 18
- 18
- Cross-Block Difference Guided Fast CU Partition for VVC Intra Coding17
A new fast CU partition method for VVC intra coding based on the cross-block difference, which is measured by the gradient and the content of sub-blocks obtained from partition and is employed to guide the skipping of unnecessary horizontal and vertical partition modes.
- Shape Recovery of Endoscopic Videos by Shape from Shading Using Mesh Regularization17
This work proposes a mesh regularization for shape recovery based on cues derived from Shape-from-Shading (SfS), which can well approximate the underlying non-rigid surfaces, rendering temporally-stabilized meshes for 3D video display.
- 15
- 14
- 14
- 14
- 13
- 13
- 13
- 13
- 13
- 13
- Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown12
A unified framework that simultaneously tackles CV-MOT and OV-MOT by integrating with any off-the-shelf detector and supports unknown categories is presented, and achieves superior performance on TAO, SportsMOT, and DanceTrack without any prior knowledge.
- Compressed Video Quality Enhancement With Temporal Group Alignment and Fusion12
A temporal group alignment and fusion network to enhance the quality of compressed videos by using the long-short term correlations between frames to eliminate the motion existing between frames is proposed.
- 12
- 12
- 11
- 11
- Depth-Guided Deep Video Inpainting10
A depth-guided deep video inpainting network (DGDVI) is proposed and demonstrated its effectiveness in processing challenging broken areas crossing multiple depth layers and provides better inpainting results, both qualitatively and quantitatively, compared with the previous state-of-the-art.
- 10
- 10
- Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming9
This work focuses on optimization for the encoding of omnidirectional video streaming by using the optimal combination of tile representations, and forms the selection of the representations into an optimization problem in which the transmission bitrate is minimized with a quality constraint.
- 9
- A Doppler-based Human Activity Recognition System using WiFi Signals9
A framework using Doppler Frequency Shift-based methodology to extract the features and classify different activities with channel state information collected from WiFi devices and the experimental results demonstrate the reliability of this method for the application of activity recognition.
- 9
- 9
- Blind Video Super-Resolution Based on Implicit Kernels8
A novel BVSR model based on Implicit Kernels, BVSR-IK, is proposed, which constructs a multi-scale kernel dictionary parameterized by implicit neural representations and employs a newly designed recurrent Transformer to predict the coefficient weights for accurate filtering in both frame correction and feature alignment.
- 8
- Human Activity Recognition based on Collaboration of Vision and WiFi Signals8
This paper designs a vision and WiFi collaboration-based human activity recognition scheme to classify the human activities and constructs a long-short-term Transformer network to build up the collaboration of the CSI data and the skeleton points.
- A new single-view 3D pantograph reconstruction aided by prior CAD model8
A novel 3D pantograph reconstruction method based on the single-view scanned data and prior Computer-Aided Design (CAD) model that can reconstruct the complete 3D model with high accuracy has been successfully applied to the anomaly detection and visualization in the pantograph inspection.
- 7
- 7
- 7
- 7
- 6
- 6
- 6
- 6
- 6
- 6
- FCVSR: A Frequency-Aware Method for Compressed Video Super-Resolution5
A deep frequency-based compressed video SR model (FCVSR) consisting of a motion-guided adaptive alignment (MGAA) network and a multi-frequency feature refinement (MFFR) module is proposed, with results demonstrating its effectiveness when compared to existing works in terms of super-resolution performance and complexity.
- 5
- Short-Long-Term Propagation-Based Video Inpainting5
A new method to inpaint videos with removed regions based on combining both short-term propagation-based inpainting (STPI) and long-term propagation-based inpainting (LTPI) modules, offering reliable short-long-term source information for inpainting.
- Total-variation based picture reconstruction in multiple description image and video coding5
This paper studies how to reconstruct pictures with the best possible quality upon receiving more than one description at the decoder side of a multiple description coding (MDC) system, assuming that an MDC encoder has been fixed at the encoder side to generate multiple descriptions.
- Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization4
The lightweight de-compression Unet (LDC-Unet), a 2D neural network, is proposed, a 2D neural network to optimize the projection maps generated during V-PCC encoding to enhance the color quality in the V-PCC compressed point clouds.
- Sparse Fully Convolutional Network for Video-based Point Cloud Compression Color Enhancement4
This is the first implementation of the Minkowski Engine for enhancing color attributes of compressed point clouds in the V-PCC field and results demonstrate that the proposed architecture can improve the quality of color attributes in the reconstructed point cloud with different quantization parameters.
- WiFi sensing of Human Activity Recognition using Continuous AoA-ToF Maps4
A continuous angle of arrival and time of flight (AoA-ToF) maps based method that adopts multiple signals classification analysis on commercial and off-the-shelf WiFi devices to detect human activities to show its robustness for human activity recognition under such conditions.
- Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding4
A luminance-guided chrominance image enhancement convolutional neural network for HEVC intra coding is proposed, which achieves 28.96% and 16.74% BD-rate gains over HEVC for the U and V images, respectively, which accordingly demonstrate its superiority.
- 4
- 4
- 4
- 4
- 4
- Compressed Video Super-Resolution based on Hierarchical Encoding3
This paper presents a general-purpose video super-resolution (VSR) method, dubbed VSR-HE, specifically designed to enhance the perceptual quality of compressed content, and adopts hierarchical encoding transformer blocks to effectively restore fine-grained details and preserve visual fidelity.
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency2
Filamentary convolution is proposed to replace rectangular convolution kernels, reducing the parameters while preserving inter-frame features by focusing solely on frequency patterns, addressing aliasing limitations while maintaining computational efficiency in SLI systems.
- Complement decoded point cloud with coordinate adjustment for video-based point cloud compression2
A 3D-based framework is presented as a post-processing tool for the V-PCC decoder, which complements decoded DPC and performs coordinate adjustment and a neighbor-based interpolation method to recover the missing points based on the coordinates in decoded DPC.
- 2
- OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement2
This paper adopts the raw data in the quality enhancement for the HEVC intra-coded image by proposing an online learning-based method, and designs a DCT based convolution layer, to produce DCT coefficients that are suitable for CNN learning.
- 2
- 2
- 2
- 2
- 2
- RIR-Agent: An interactive framework for effective and adaptive restoration of remote sensing imagery1
- 1
- 1
- 1
- Texture-guided Coding for Deep Features1
This paper investigates features and textures and proposes a texture-guided feature compression strategy based on their characteristics, which eliminates feature redundancy, reconstructs high-quality preview images for humans, and supports decision-making.
- Multiple Latent Space Mapping for Compressed Dark Image Enhancement1
This study proposes a novel latent mapping network based on variational auto-encoder (VAE) that achieves state-of-the-art performance in compressed dark image enhancement and exploits multiple latent spaces with multi-resolution features to reduce the detail blur and improve image fidelity.
- 1
- 1
- 1
- Respiration detection of sedentary person using ubiquitous WiFi signals1
Commercial WiFi devices are used to deploy a respiration detection system for sedentary scenarios and the results showed a median error, for one and two human subjects’ breathing detection, of 0.7 bpm and 1 bpm respectively.
- 1
- View-Consistent Intrinsic Decomposition for Stereoscopic Images1
This paper proposes a straightforward yet effective framework that enables a high-quality decomposition for stereoscopic pairs and analyzes local and non-local image textures regularized by super-pixels within and across two views to reduce reflectance ambiguity.
- 1
- 1
- 1
- 1
- A novel enhancement for hierarchical image coding1
This paper demonstrates, for the first time, that when the bit-rate used to code the residual layer falls into a critical region, it often happens that all pixels in the down-sampled layer would be deteriorated if the corresponding coded residuals are added into them.
- 1
- 1
- 1
- –
- –
- A fast video coding scheme based on perceptual rate distortion optimized preprocessing–
A perceptual quality oriented R-D optimization video coding framework based on interaction between pre-encoding processing and in-loop R-D optimized mode decision, and a mask-guided early skip decision mechanism that uses the masks generated by preprocessing to terminate further block partitioning during encoding process, bypassing redundant R-D optimized mode decision.
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- A total variation-based approach for composing better pictures in multiple description coding–
Simulation results demonstrate that such a TV-based enhancement yields a higher quality gain in both objective (e.g. PSNR-based) and subjective (i.e. visual perception) evaluations than using the transform-domain overlapping technique.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.