Yakun Ju

63 papers A* 6A 1B 2C 3Misc 1Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DCD-UIE: Decoupled Chromatic Diffusion Model for Underwater Image Enhancement.
IEEE Trans. Image Process.
Guodong Fan, Yu Zhou, Jingchun Zhou, Yakun Ju, Guang-Yong Chen, Jinjiang Li, Alex ChiChung Kot
2026 J jnl
EHIN: Early-aware hierarchical interaction network for weakly-supervised referring image segmentation.
Neurocomputing
Hongjun Li, Nan Wang, Anqing Chen, Jiang Liu, Wanli Ma, Weide Liu, Yakun Ju, Paul L. Rosin, Hantao Liu, Wei Zhou
2026 J jnl
MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration.
Inf. Fusion
Dingkang Yang, Jinjie Wei, Mingcheng Li, Jiyao Liu, Lihao Liu, Ming Hu, Junjun He, Yakun Ju, Wei Zhou, Yang Liu, Lihua Zhang
2026 A* conf
PUFM: Efficient Point Cloud Upsampling via Flow Matching.
AAAI
Zhi-Song Liu, Chenhang He, Yakun Ju, Lei Li
2026 J jnl
SGDFuse: SAM-guided diffusion model for high-fidelity infrared and visible image fusion.
Inf. Fusion
Xiaoyang Zhang, Jinjiang Li, Guodong Fan, Yakun Ju, Linwei Fan, Jun Liu, Alex C. Kot
2025 C conf
A Novel Stereo Matching Network for Underwater Scenes.
ISCAS
Lvwei Zhu, Yakun Ju, Ying Gao
2025 J jnl
Aerial Multi-View Stereo via Adaptive Depth Range Inference and Normal Cues.
CoRR
Yimei Liu, Yakun Ju, Yuan Rao, Hao Fan, Junyu Dong, Feng Gao, Qian Du
2025 J jnl
Aerial Multiview Stereo via Adaptive Depth Range Inference and Normal Cues.
IEEE Trans. Geosci. Remote. Sens.
Yimei Liu, Yakun Ju, Yuan Rao, Hao Fan, Junyu Dong, Feng Gao, Qian Du
2025 J jnl
Cross-Frequency Attention and Color Contrast Constraint for Remote Sensing Dehazing.
IEEE Trans. Image Process.
Yuxin Feng, Jufeng Li, Tao Huang, Fangfang Wu, Yakun Ju, Chunxu Li, Weisheng Dong, Alex C. Kot
2025 J jnl
Excavate the Potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zheng Cheng, Wenri Wang, Guang-Yong Chen, Yakun Ju, Yihua Cheng, Zhisong Liu, Yanda Meng, Jintao Song
2025 J jnl
Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement.
CoRR
Zheng Cheng, Wenri Wang, Guangyong Chen, Yakun Ju, Yihua Cheng, Zhisong Liu, Yanda Meng, Jintao Song
2025 J jnl
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients.
CoRR
Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan
2025 A* conf
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients.
AAAI
Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan
2025 J jnl
Face reconstruction with detailed skin features via three selfie images.
J. Vis. Commun. Image Represent.
Yakun Ju, Bandara Dissanayake, Rachel Ang, Ling Li, Dennis Sng, Alex C. Kot
2025 J jnl
Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection.
IEEE Trans. Circuits Syst. Video Technol.
Anwei Luo, Rizhao Cai, Chenqi Kong, Yakun Ju, Xiangui Kang, Jiwu Huang, Alex C. Kot
2025 J jnl
Fragrant: frequency-auxiliary guided relational attention network for low-light action recognition.
Vis. Comput.
Wenxuan Liu, Xuemei Jia, Yihao Ju, Yakun Ju, Kui Jiang, Shifeng Wu, Luo Zhong, Xian Zhong
2025 C conf
HRHuman: Tuning-Free Higher-Resolution Human Image Generation via Template Knowledge.
ISCAS
Ling Li, Lanqing Guo, Siyuan Yang, Qian Zheng, Yakun Ju, Weisi Lin, Alex C. Kot
2025 J jnl
Photometric Regularization for 3D Gaussian Splatting in Multi-View Surface Projection.
IEEE J. Sel. Top. Signal Process.
Yakun Ju, Yuying Zhao, Jun Xiao, Cong Zhang, Zheheng Jiang, Huiyu Zhou, Wei Zhou, Hui Yu, Junyu Dong
2025 J jnl
Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation.
CoRR
Junyi Wang, Jinjiang Li, Guodong Fan, Yakun Ju, Xiang Fang, Alex C. Kot
2025 J jnl
Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Junyi Wang, Jinjiang Li, Guodong Fan, Yakun Ju, Xiang Fang, Alex C. Kot
2025 J jnl
Revisiting One-Stage Deep Uncalibrated Photometric Stereo via Fourier Embedding.
IEEE Trans. Pattern Anal. Mach. Intell.
Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang, Alex C. Kot
2025 J jnl
SA
CoRR
Hao Xie, Zixun Huang, Yushen Zuo, Yakun Ju, Frank H. F. Leung, Ngai-Fong Law, Kin-Man Lam, Yong-Ping Zheng, Sai Ho Ling
2025 J jnl
SA2Net: Scale-adaptive structure-affinity transformation for spine segmentation from ultrasound volume projection imaging.
Comput. Medical Imaging Graph.
Hao Xie, Zixun Huang, Yushen Zuo, Yakun Ju, Frank H. F. Leung, Ngai-Fong Law, Kin-Man Lam, Yong-Ping Zheng, Sai Ho Ling
2025 J jnl
SGDFuse: SAM-Guided Diffusion for High-Fidelity Infrared and Visible Image Fusion.
CoRR
Xiaoyang Zhang, Zhen Hua, Yakun Ju, Wei Zhou, Jun Liu, Alex C. Kot
2025 J jnl
Towards marine snow removal with fusing Fourier information.
Inf. Fusion
Yakun Ju, Jun Xiao, Cong Zhang, Hao Xie, Anwei Luo, Huiyu Zhou, Junyu Dong, Alex C. Kot
2024 J jnl
Deep Learning Methods for Calibrated Photometric Stereo and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell.
Yakun Ju, Kin-Man Lam, Wuyuan Xie, Huiyu Zhou, Junyu Dong, Boxin Shi
2024 J jnl
Estimating High-Resolution Surface Normals via Low-Resolution Photometric Stereo Images.
IEEE Trans. Circuits Syst. Video Technol.
Yakun Ju, Muwei Jian, Cong Wang, Cong Zhang, Junyu Dong, Kin-Man Lam
2024 J jnl
Exposing image splicing traces in scientific publications via uncertainty-guided refinement.
Patterns
Xun Lin, Wenzhong Tang, Haoran Wang, Yizhong Liu, Yakun Ju, Shuai Wang, Zitong Yu
2024 J jnl
Flow-Edge-Net: Video Saliency Detection Based on Optical Flow and Edge-Weighted Balance Loss.
IEEE Trans. Comput. Soc. Syst.
Muwei Jian, Xiangwei Lu, Xiaoyang Yu, Yakun Ju, Hui Yu, Kin-Man Lam
2024 — conf
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.
ECCV Workshops (9)
Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2024 J jnl
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.
CoRR
Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2024 J jnl
GR-PSN: Learning to Estimate Surface Normal and Reconstruct Photometric Stereo Images.
IEEE Trans. Vis. Comput. Graph.
Yakun Ju, Boxin Shi, Yang Chen, Huiyu Zhou, Junyu Dong, Kin-Man Lam
2024 — conf
Image Gradient-Aided Photometric Stereo Network.
PRICAI (3)
Kaixuan Wang, Lin Qi, Shiyu Qin, Kai Luo, Yakun Ju, Xia Li, Junyu Dong
2024 J jnl
Image Gradient-Aided Photometric Stereo Network.
CoRR
Kaixuan Wang, Lin Qi, Shiyu Qin, Kai Luo, Yakun Ju, Xia Li, Junyu Dong
2024 J jnl
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network.
CoRR
Kai Luo, Yakun Ju, Lin Qi, Kaixuan Wang, Junyu Dong
2024 — conf
SATR: A Structure-Affinity Attention-Based Transformer Encoder for Spine Segmentation.
ISBI
Hao Xie, Zixun Huang, Frank H. F. Leung, Ngai-Fong Law, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling
2024 A* conf
Towards Progressive Multi-Frequency Representation for Image Warping.
CVPR
Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
2023 — conf
A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment.
BIBM
Hao Xie, Zixun Huang, Frank H. F. Leung, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling
2023 — conf
Deep Discrete Wavelet Transform Network for Photometric Stereo.
DSP
Yakun Ju, Muwei Jian, Cong Zhang, Yeqi Hu, Kin-Man Lam
2023 Misc conf
Efficient Feature Fusion for Learning-Based Photometric Stereo.
ICASSP
Yakun Ju, Kin-Man Lam, Jun Xiao, Cong Zhang, Cuixin Yang, Junyu Dong
2023 J jnl
Efficient Inductive Vision Transformer for Oriented Object Detection in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens.
Cong Zhang, Jingran Su, Yakun Ju, Kin-Man Lam, Qi Wang
2023 B conf
Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method.
ICIP
Cuixin Yang, Jun Xiao, Yakun Ju, Guoping Qiu, Kin-Man Lam
2023 A conf
Learning Deep Photometric Stereo Network with Reflectance Priors.
ICME
Yakun Ju, Cong Zhang, Songsong Huang, Yuan Rao, Kin-Man Lam
2023 J jnl
Learning Enriched Feature Descriptor for Image Matching and Visual Measurement.
IEEE Trans. Instrum. Meas.
Yuan Rao, Yakun Ju, Sen Wang, Feng Gao, Hao Fan, Junyu Dong
2023 J jnl
Learning General Descriptors for Image Matching With Regression Feedback.
IEEE Trans. Circuits Syst. Video Technol.
Yuan Rao, Yakun Ju, Cong Li, Eric Rigall, Jian Yang, Hao Fan, Junyu Dong
2023 A* conf
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception.
NeurIPS
Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen
2023 B conf
Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection.
ICIP
Cong Zhang, Tianshan Liu, Yakun Ju, Kin-Man Lam
2023 A* conf
pmBQA: Projection-based Blind Point Cloud Quality Assessment via Multimodal Learning.
ACM Multimedia
Wuyuan Xie, Kaimin Wang, Yakun Ju, Miaohui Wang
2022 J jnl
3D Hand Pose Estimation From Monocular RGB With Feature Interaction Module.
IEEE Trans. Circuits Syst. Video Technol.
Shaoxiang Guo, Eric Rigall, Yakun Ju, Junyu Dong
2022 J jnl
A deep-shallow and global-local multi-feature fusion network for photometric stereo.
Image Vis. Comput.
Yanru Liu, Yakun Ju, Muwei Jian, Feng Gao, Yuan Rao, Yeqi Hu, Junyu Dong
2022 J jnl
Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey.
CoRR
Yakun Ju, Kin-Man Lam, Wuyuan Xie, Huiyu Zhou, Junyu Dong, Boxin Shi
2022 J jnl
Learning General Feature Descriptor for Visual Measurement With Hierarchical View Consistency.
IEEE Trans. Instrum. Meas.
Yuan Rao, Jian Yang, Yakun Ju, Cong Li, Eric Rigall, Hao Fan, Junyu Dong
2022 J jnl
Learning conditional photometric stereo with high-resolution features.
Comput. Vis. Media
Yakun Ju, Yuxin Peng, Muwei Jian, Feng Gao, Junyu Dong
2022 J jnl
NormAttention-PSN: A High-frequency Region Enhanced Photometric Stereo Network with Normalized Attention.
Int. J. Comput. Vis.
Yakun Ju, Boxin Shi, Muwei Jian, Lin Qi, Junyu Dong, Kin-Man Lam
2021 J jnl
Incorporating Lambertian Priors Into Surface Normals Measurement.
IEEE Trans. Instrum. Meas.
Yakun Ju, Muwei Jian, Shaoxiang Guo, YingYu Wang, Huiyu Zhou, Junyu Dong
2021 J jnl
Incorporating Lambertian Priors into Surface Normals Measurement.
CoRR
Yakun Ju, Muwei Jian, Shaoxiang Guo, YingYu Wang, Huiyu Zhou, Junyu Dong
2021 J jnl
Recovering Surface Normal and Arbitrary Images: A Dual Regression Network for Photometric Stereo.
IEEE Trans. Image Process.
Yakun Ju, Junyu Dong, Sheng Chen
2021 J jnl
Three-Dimensional Reconstruction with a Laser Line Based on Image In-Painting and Multi-Spectral Photometric Stereo.
Sensors
Liang Lu, Hongbao Zhu, Junyu Dong, Yakun Ju, Huiyu Zhou
2020 J jnl
A dual-cue network for multispectral photometric stereo.
Pattern Recognit.
Yakun Ju, Xinghui Dong, YingYu Wang, Lin Qi, Junyu Dong
2020 C conf
Learning Photometric Stereo via Manifold-based Mapping.
VCIP
Yakun Ju, Muwei Jian, Junyu Dong, Kin-Man Lam
2020 J jnl
MPS-Net: Learning to recover surface normal for multispectral photometric stereo.
Neurocomputing
Yakun Ju, Lin Qi, Jichao He, Xinghui Dong, Feng Gao, Junyu Dong
2020 A* conf
Pay Attention to Devils: A Photometric Stereo Network for Better Details.
IJCAI
Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong
2018 J jnl
Demultiplexing Colored Images for Multispectral Photometric Stereo via Deep Neural Networks.
IEEE Access
Yakun Ju, Lin Qi, Huiyu Zhou, Junyu Dong, Liang Lu

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.