Xinhan Di

According to our database, Xinhan Di authored at least 49 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OCC-MLLM-CoT: Self-correction enhanced occlusion recognition with large language models via 3D-aware supervision, chain-of-thoughts guidance.

Chaoyi Wang, Fangzhou Meng, Jun Pei, Lijie Xia, Jianpo Liu, Xiaobing Yuan, Xinhan Di

Image Vis. Comput., 2026

2025

LD-LAudio-V1: Video-to-Long-Form-Audio Generation Extension with Dual Lightweight Adapters.

Haomin Zhang, Kristin Qi, Shuxin Yang, Zihao Chen, Chaofan Ding, Xinhan Di

CoRR, August, 2025

Preview WB-DH: Towards Whole Body Digital Human Bench for the Generation of Whole-body Talking Avatar Videos.

Chaoyi Wang, Yifan Yang, Jun Pei, Lijie Xia, Jianpo Liu, Xiaobing Yuan, Xinhan Di

CoRR, August, 2025

Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention.

Xinhan Di, JoyJiaoW

CoRR, August, 2025

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1.

Xinhan Di, Kristin Qi, Pengqian Yu

CoRR, July, 2025

Towards Video to Piano Music Generation with Chain-of-Perform Support Benchmarks.

Chang Liu, Haomin Zhang, Shiyu Xia, Zihao Chen, Chaofan Ding, Xin Yue, Huizhe Chen, Xinhan Di

CoRR, May, 2025

Towards Film-Making Production Dialogue, Narration, Monologue Adaptive Moving Dubbing Benchmarks.

Chaoyi Wang, Junjie Zheng, Zihao Chen, Shiyu Xia, Chaofan Ding, Xiaohao Zhang, Xi Tao, Xiaoming He, Xinhan Di

CoRR, May, 2025

OCC-MLLM-CoT-Alpha: Towards Multi-stage Occlusion Recognition Based on Large Language Models via 3D-Aware Supervision and Chain-of-Thoughts Guidance.

Chaoyi Wang, Baoqing Li, Xinhan Di

CoRR, April, 2025

DeepDubber-V1: Towards High Quality and Dialogue, Narration, Monologue Adaptive Movie Dubbing Via Multi-Modal Chain-of-Thoughts Reasoning Guidance.

Junjie Zheng, Zihao Chen, Chaofan Ding, Xinhan Di

CoRR, March, 2025

DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generation.

Haomin Zhang, Chang Liu, Junjie Zheng, Zihao Chen, Chaofan Ding, Xinhan Di

CoRR, March, 2025

DeepSound-V1: Start to Think Step-by-Step in the Audio Generation from Videos.

Yunming Liang, Zihao Chen, Chaofan Ding, Xinhan Di

CoRR, March, 2025

Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization.

Haomin Zhang, Sizhe Shan, Haoyu Wang, Zihao Chen, Xiulong Liu, Chaofan Ding, Xinhan Di

CoRR, March, 2025

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search.

Shuangtao Li, Shuaihao Dong, Kexin Luan, Xinhan Di, Chaofan Ding

CoRR, January, 2025

DualDub: Video-to-Soundtrack Generation via Joint Speech and Background Audio Synthesis.

Wenjie Tian, Xinfa Zhu, Haohe Liu, Zhixian Zhao, Zihao Chen, Chaofan Ding, Xinhan Di, Junjie Zheng, Lei Xie

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MM-MovieDubber: Towards Multi-Modal Learning for Multi-Modal Movie Dubbing.

Junjie Zheng, Zihao Chen, Chaofan Ding, Yunming Liang, Yihan Fan, Huan Yang, Lei Xie, Xinhan Di

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation.

Kristin Qi, Xinhan Di

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio.

Gongyu Chen, Haomin Zhang, Chaofan Ding, Zihao Chen, Xinhan Di

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models.

Zhifeng Xie, Hao Li, Huiming Ding, Mengtian Li, Xinhan Di, Ying Cao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hand-Object Pose Estimation and Reconstruction Based on Signed Distance Field and Multiscale Feature Interaction.

Xinkang Zhang, Xiaokun Dai, Ziqun Zhang, Xinhan Di, Xinrong Chen

IEEE Trans. Ind. Informatics, September, 2024

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning.

Huchen Jiang, Yangyang Ma, Chaofan Ding, Kexin Luan, Xinhan Di

CoRR, 2024

Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models.

Changqun Li, Chaofan Ding, Kexin Luan, Xinhan Di

CoRR, 2024

YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls.

Zihao Chen, Haomin Zhang, Xinhan Di, Haoyu Wang, Sizhe Shan, Junjie Zheng, Yunming Liang, Yihan Fan, Xinfa Zhu, Wenjie Tian, Yihua Wang, Chaofan Ding, Lei Xie

CoRR, 2024

Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders.

Wenjing Gao, Yuanyuan Yang, Jianrui Wei, Xuntao Yin, Xinhan Di

CoRR, 2024

OCC-MLLM-Alpha:Empowering Multi-modal Large Language Model for the Understanding of Occluded Objects with Self-Supervised Test-Time Learning.

Shuxin Yang, Xinhan Di

CoRR, 2024

OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects.

Wenmo Qiu, Xinhan Di

CoRR, 2024

Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation.

Shuting Zhao, Chenkang Du, Kristin Qi, Xinrong Chen, Xinhan Di

CoRR, 2024

Self-Supervised Learning of Deviation in Latent Representation for Co-speech Gesture Video Generation.

Huan Yang, Jiahui Chen, Chaofan Ding, Runhua Shi, Siyu Xiong, Qingqi Hong, Xiaoqi Mo, Xinhan Di

CoRR, 2024

Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation.

Xinhan Di, Zihao Chen, Yunming Liang, Junjie Zheng, Yihua Wang, Chaofan Ding

CoRR, 2024

2023

An Attention-Based Signed Distance Field Estimation Method for Hand-Object Reconstruction.

Xinkang Zhang, Xinhan Di, Xiaokun Dai, Xinrong Chen

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Dual Attention Poser: Dual Path Body Tracking Based on Attention.

Xinhan Di, Xiaokun Dai, Xinkang Zhang, Xinrong Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes.

Xinhan Di, Pengqian Yu

CoRR, 2022

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction.

Xinhan Di, Pengqian Yu

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes.

Xinhan Di, Pengqian Yu

CoRR, 2021

Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes.

Xinhan Di, Pengqian Yu

CoRR, 2021

2020

End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph.

Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu

CoRR, 2020

Deep Layout of Custom-size Furniture through Multiple-domain Learning.

Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu

CoRR, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.

Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

CoRR, 2020

Towards Adversarial Planning for Indoor Scenes with Rotation.

Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

CoRR, 2020

The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition.

Yuli Zhang, Yeyang He, Shaowen Zhu, Xinhan Di

CoRR, 2020

Mutual Information Maximization in Graph Neural Networks.

Xinhan Di, Pengqian Yu, Rui Bu, Mingchao Sun

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.

Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun, Ling-Qiang Ran

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Neighborhood Enlargement in Graph Neural Networks.

Xinhan Di, Pengqian Yu, Mingchao Sun, Rui Bu

CoRR, 2019

2018

Ambient Hidden Space of Generative Adversarial Networks.

Xinhan Di, Pengqian Yu, Meng Tian

CoRR, 2018

Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification.

Xinhan Di, Pengqian Yu, Meng Tian

CoRR, 2018

PointCNN: Convolution On X-Transformed Points.

Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, Baoquan Chen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

3D Reconstruction of Simple Objects from A Single View Silhouette Image.

Xinhan Di, Pengqian Yu

CoRR, 2017

Multiplicative Noise Channel in Generative Adversarial Networks.

Xinhan Di, Pengqian Yu

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks.

Xinhan Di, Pengqian Yu

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Deep Shape from a Low Number of Silhouettes.

Xinhan Di, Rozenn Dahyot, Mukta Prasad

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016