De Wen Soh

34 papers A* 4A 1C 1Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, De Wen Soh, Mohammed Bennamoun, Jun Liu
2026 J jnl
VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation.
CoRR
Jiayi Yuan, Haobo Jiang, De Wen Soh, Na Zhao
2026 J jnl
Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection.
CoRR
Olivia Shanhong Liu, Pai Chet Ng, De Wen Soh, Konstantinos N. Plataniotis
2025 A* conf
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models.
ICML
Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu
2025 J jnl
Detecting Signatures of Criticality Using Divergence Rate.
Entropy
Tenzin Chan, De Wen Soh, Christopher Hillar
2025 A* conf
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians.
ICLR
Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao
2025 J jnl
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm.
CoRR
Ziyan Guo, Zeyu Hu, Na Zhao, De Wen Soh
2025 J jnl
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects.
CoRR
Mark He Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh
2025 A* conf
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation.
CVPR
Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu
2025 J jnl
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation.
CoRR
Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu
2025 J jnl
Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu
2025 — conf
Re³Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training.
ACL (1)
Zhiyang Zhang, Ziqiang Liu, Huiming Wang, Renke Shan, Li Kuang, Lu Wang, De Wen Soh
2025 A conf
TSTMotion: Training-free Scene-aware Text-to-motion Generation.
ICME
Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu
2025 J jnl
TSTMotion: Training-free Scene-aware Text-to-motion Generation.
CoRR
Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu
2025 A* conf
Visual Prompting for One-shot Controllable Video Editing without Inversion.
CVPR
Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo
2025 J jnl
Visual Prompting for One-shot Controllable Video Editing without Inversion.
CoRR
Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo
2024 J jnl
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians.
CoRR
Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao
2024 — conf
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning.
NAACL-HLT
Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing
2024 J jnl
Line Spectral Estimation via Unlimited Sampling.
IEEE Trans. Aerosp. Electron. Syst.
Qi Zhang, Jiang Zhu, Fengzhong Qu, De Wen Soh
2024 J jnl
On the Identifiability from Modulo Measurements under DFT Sensing Matrix.
CoRR
Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh
2024 — conf
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.
ACL (1)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
2023 J jnl
Applicable and Partial Learning of Graph Topology Without Sparsity Priors.
IEEE Trans. Netw. Sci. Eng.
Yanli Yuan, De Wen Soh, Zehui Xiong, Tony Q. S. Quek
2023 J jnl
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.
CoRR
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
2023 J jnl
Joint Network Topology Inference via Structural Fusion Regularization.
IEEE Trans. Knowl. Data Eng.
Yanli Yuan, De Wen Soh, Kun Guo, Zehui Xiong, Tony Q. S. Quek
2023 J jnl
One-Bit-Aided Modulo Sampling for DOA Estimation.
CoRR
Qi Zhang, Jiang Zhu, Zhiwei Xu, De Wen Soh
2023 J jnl
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.
CoRR
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing
2022 C conf
Calibrating Learning Parity with Noise Authentication for Low-Resource Devices.
ICICS
Teik Guan Tan, De Wen Soh, Jianying Zhou
2022 J jnl
GRACGE: Graph Signal Clustering and Multiple Graph Estimation.
IEEE Trans. Signal Process.
Yanli Yuan, De Wen Soh, Xiao Yang, Kun Guo, Tony Q. S. Quek
2022 — conf
Towards Better Characterization of Paraphrases.
ACL (1)
Timothy Liu, De Wen Soh
2021 — conf
Deep Interpretation with Sign Separated and Contribution Recognized Decomposition.
IWANN (1)
Lucas Y. W. Hui, De Wen Soh
2019 J jnl
Learning Overlapping Community-Based Networks.
IEEE Trans. Signal Inf. Process. over Networks
Yanli Yuan, De Wen Soh, Howard H. Yang, Tony Q. S. Quek
2019 J jnl
Learning Unfaithful $K$-separable Gaussian Graphical Models.
J. Mach. Learn. Res.
De Wen Soh, Sekhar Tatikonda
2014 — conf
Testing Unfaithful Gaussian Graphical Models.
NIPS
De Wen Soh, Sekhar Tatikonda
2013 J jnl
Randomized Information Dissemination in Dynamic Environments.
IEEE/ACM Trans. Netw.
De Wen Soh, Wee-Peng Tay, Tony Q. S. Quek