Zihui Xue
17 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(5)
👥
Mega-Team
(100)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
💎
Century Club
(17)
⚡
Prolific Year
(6)
🔥
Unstoppable
(6)
🗃️
Keyword Collector
(67)
Conferences
CVPR (7)
ECCV (2)
ICCV (2)
NIPS (2)
CORL (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
video understanding
(5)
representation learning
(3)
egocentric video
(3)
contrastive learning
(2)
self-supervised learning
(2)
activity recognition
(2)
diffusion model
(2)
knowledge distillation
(2)
object state change
(2)
multimodal learning
(2)
multi-task learning
(1)
video captioning
(1)
video generation
(1)
weakly supervised learning
(1)
vision transformer
(1)
temporal dynamics
(1)
depth estimation
(1)
video segmentation
(1)
semi-supervised learning
(1)
token alignment
(1)
Papers
SPOC: Spatially-Progressing Object State Change Segmentation in Video
WACV 2026
Progress-Aware Video Frame Captioning
CVPR 2025
Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning
CVPR 2025
REG: Rectified Gradient Guidance for Conditional Diffusion Models
ICML 2025
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos
ECCV 2024
Learning Object State Changes in Videos: An Open-World Perspective
CVPR 2024
Detours for Navigating Instructional Videos
CVPR 2024
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
CVPR 2024
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos
ECCV 2024
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness
NIPS 2024
Egocentric Video Task Translation
CVPR 2023
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
ICLR 2023
Co-Advise: Cross Inductive Bias Distillation
CVPR 2022
On Feature Decorrelation in Self-Supervised Learning
ICCV 2021
Multimodal Knowledge Expansion
ICCV 2021
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices
CORL 2021
What Makes Multi-Modal Learning Better than Single (Provably)
NIPS 2021