Yiran Zhong

Orcid: 0000-0003-1404-3610

According to our database1, Yiran Zhong authored at least 61 papers between 2014 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
CO2: Efficient Distributed Training with Full Communication-Computation Overlap.
CoRR, 2024

Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models.
CoRR, 2024

Exploring Transformer Extrapolation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Improving Audio-Visual Segmentation with Bidirectional Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Vicinity Vision Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

MUNet: Motion uncertainty-aware semi-supervised video object segmentation.
Pattern Recognit., June, 2023

Multimodal Variational Auto-encoder based Audio-Visual Segmentation.
CoRR, 2023

Image-based Geolocalization by Ground-to-2.5D Map Matching.
CoRR, 2023

Contrastive Conditional Latent Diffusion for Audio-visual Segmentation.
CoRR, 2023

Scaling TransNormer to 175 Billion Parameters.
CoRR, 2023

Linearized Relative Positional Encoding.
CoRR, 2023

Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning.
CoRR, 2023

An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems.
CoRR, 2023

Improving Audio-Visual Video Parsing with Pseudo Visual Labels.
CoRR, 2023

Audio-Visual Segmentation with Semantics.
CoRR, 2023

Hierarchically Gated Recurrent Neural Network for Sequence Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toeplitz Neural Network for Sequence Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multimodal Variational Auto-encoder based Audio-Visual Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accelerating Toeplitz Neural Network with Constant-time Inference Complexity.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fine-grained Audible Video Description.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Displacement-Invariant Cost Computation for Stereo Matching.
Int. J. Comput. Vis., 2022

Linear Video Transformer with Feature Fixation.
CoRR, 2022

Neural Architecture Search on Efficient Transformers and Beyond.
CoRR, 2022

AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification.
CoRR, 2022

Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective.
CoRR, 2022

Locality Matters: A Locality-Biased Linear Attention for Automatic Speech Recognition.
CoRR, 2022

Deep Laparoscopic Stereo Matching with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

cosFormer: Rethinking Softmax In Attention.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Devil in Linear Transformer.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Audio-Visual Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Implicit Motion Handling for Video Camouflaged Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transcribing Natural Languages for the Deaf via Neural Editing Programs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding.
IEEE Trans. Image Process., 2021

Deep robust image deblurring via blur distilling and information comparison in latent space.
Neurocomputing, 2021

GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation.
CoRR, 2021

Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model.
CoRR, 2021

Memory-Free Generative Replay For Class-Incremental Learning.
CoRR, 2021

Depth-Guided Camouflaged Object Detection.
CoRR, 2021

Invertible Attention.
CoRR, 2021

Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding.
CoRR, 2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Positive Sample Propagation Along the Audio-Visual Event Line.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Two-View Structure-From-Motion Revisited.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Depth Completion using Piecewise Planar Model.
CoRR, 2020

Efficient Depth Completion Using Learned Bases.
CoRR, 2020

Displacement-Invariant Cost Computation for Efficient Stereo Matching.
CoRR, 2020

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Neural Architecture Search for Deep Stereo Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deblurring by Realistic Blurring.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Adversarial Spatio-Temporal Learning for Video Deblurring.
IEEE Trans. Image Process., 2019

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Noise-Aware Unsupervised Deep Lidar-Stereo Fusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Open-World Stereo Video Matching with Deep RNN.
Proceedings of the Computer Vision - ECCV 2018, 2018

Stereo Computation for a Single Mixture Image.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Self-Supervised Learning for Stereo Matching with Self-Improving Ability.
CoRR, 2017

2016
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Null space clustering with applications to motion segmentation and face clustering.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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