Anran Wang

Orcid: 0000-0001-8112-5830

Affiliations:
  • Bytedance AI Lab, Singapore
  • A*STAR, Institute for Infocomm Research, Singapore (former)
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong (2016 - 2018)
  • Nanyang Technological University, Singapore (PhD 2016)


According to our database1, Anran Wang authored at least 19 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation.
CoRR, 2024

2022
ManiCLIP: Multi-Attribute Face Manipulation from Text.
CoRR, 2022

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet.
CoRR, 2021

All Tokens Matter: Token Labeling for Training Better Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Video Summarization via Time-Aware Transformers.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Holistic Multi-Modal Memory Network for Movie Question Answering.
IEEE Trans. Image Process., 2020

2018
Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Learning Deep Unsupervised Binary Codes for Image Retrieval.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aphash: Anchor-Based Probability Hashing for Image Retrieval.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
DDSH: Deep Distribution-Separating Hashing for Image Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2016
Feature learning for RGB-D scene understanding
PhD thesis, 2016

Modality and Component Aware Feature Fusion for RGB-D Scene Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition.
IEEE Trans. Multim., 2015

Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling.
IEEE Trans. Image Process., 2015

MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Estimating spatial layout of rooms from RGB-D videos.
Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Multi-class Cosegmentation with Pairwise Active Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013


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