Yiran Zhong

34 papers · 2016–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (60) 🧬 Topic Evolution 🤝 Dynamic Duo (13) 👑 Triple Crown 🏆 Grand Slam 💎 Century Club (33) 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (144) 🔥 Unstoppable (8)

Conferences

CVPR (11) AAAI (6) ECCV (4) NIPS (4) EMNLP (3) ICLR (3) ICCV (2) ICML (1)

Top co-authors

Yuchao Dai (14) Zhen Qin (12) Hongdong Li (11) Weixuan Sun (7) yuxin mao (6) Jinxing Zhou (6) DONGXU LI (5) Meng Wang (5) Jianyuan Wang (5) Dong Li (5)

Keywords

multimodal learning (6) optical flow (5) depth estimation (5) attention mechanism (4) multi-modal learning (4) optical flow estimation (3) sequence modeling (3) stereo matching (3) motion estimation (3) transformer architecture (3) language modeling (3) video understanding (3) visual slam (2) linear complexity (2) audio-visual learning (2) 3d vision (2) semantic segmentation (2) unsupervised learning (2) 3d reconstruction (2) state space model (2)

Papers

Learning Spatial Decay for Vision Transformers AAAI 2026

Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025

Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control AAAI 2025

Towards Open-Vocabulary Audio-Visual Event Localization CVPR 2025

Exploring Transformer Extrapolation AAAI 2024

CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024

Label-anticipated Event Disentanglement for Audio-Visual Video Parsing ECCV 2024

Scaling Laws for Linear Complexity Language Models EMNLP 2024

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NIPS 2024

Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention ICML 2024

Improving Audio-Visual Segmentation with Bidirectional Generation AAAI 2024

Fine-Grained Audible Video Description CVPR 2023

Hierarchically Gated Recurrent Neural Network for Sequence Modeling NIPS 2023

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning CVPR 2023

Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023

Multimodal Variational Auto-encoder based Audio-Visual Segmentation ICCV 2023

Toeplitz Neural Network for Sequence Modeling ICLR 2023

Audio—Visual Segmentation ECCV 2022

Implicit Motion Handling for Video Camouflaged Object Detection CVPR 2022

The Devil in Linear Transformer EMNLP 2022

cosFormer: Rethinking Softmax In Attention ICLR 2022

Transcribing Natural Languages for the Deaf via Neural Editing Programs AAAI 2022

Deep Two-View Structure-From-Motion Revisited CVPR 2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization ICCV 2021

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring CVPR 2021

Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation NIPS 2020

Hierarchical Neural Architecture Search for Deep Stereo Matching NIPS 2020

Deblurring by Realistic Blurring CVPR 2020

Noise-Aware Unsupervised Deep Lidar-Stereo Fusion CVPR 2019

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes CVPR 2019

Stereo Computation for a Single Mixture Image ECCV 2018

Open-World Stereo Video Matching with Deep RNN ECCV 2018

Robust Multi-Body Feature Tracker: A Segmentation-Free Approach CVPR 2016