Zanlin Ni

According to our database, Zanlin Ni authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.

Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang

Int. J. Comput. Vis., May, 2025

CODA: Repurposing Continuous VAEs for Discrete Tokenization.

Zeyu Liu, Zanlin Ni, Yeguo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang

CoRR, March, 2025

Cross-modal adapter for vision-language retrieval.

Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang

Pattern Recognit., 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

CoRR, 2024

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

CoRR, 2024

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang

CoRR, 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images.

Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.

Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Incubation: Training Large Models by Divide-and-Conquering.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Model Assembling.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

CoRR, 2022

Cross-Modal Adapter for Text-Video Retrieval.

Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang

CoRR, 2022

2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.

Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment.

Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020