Fangzhou Mu
11 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29)
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Century Club · Bronze
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Prolific Year · Productive
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Computer Vision
(8)
Machine Learning
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Artificial Intelligence
(5)
Deep Learning
(5)
Generation
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Core AI
(4)
Analysis
(3)
Core Methods
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Learning Types · Deep Learning
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Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
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Computer Science
(1)
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Keywords
diffusion model
(3)
transfer learning
(2)
image generation
(2)
text-to-image generation
(2)
depth estimation
(2)
neural rendering
(2)
open-set learning
(1)
style transfer
(1)
few-shot learning
(1)
generative model
(1)
training-free method
(1)
foundation model
(1)
adaptive inference
(1)
differentiable rendering
(1)
object pose estimation
(1)
open-set recognition
(1)
text-to-image diffusion
(1)
3d scene reconstruction
(1)
3d reconstruction
(1)
representation learning
(1)
Papers
Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
ICCV 2025
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
NeurIPS 2024
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
CVPR 2024
SnAG: Scalable and Accurate Video Grounding
CVPR 2024
Towards 3D Vision with Low-Cost Single-Photon Cameras
CVPR 2024
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
ICLR 2024
GLIGEN: Open-Set Grounded Text-to-Image Generation
CVPR 2023
Learned Compressive Representations for Single-Photon 3D Imaging
ICCV 2023
3D Photo Stylization: Learning To Generate Stylized Novel Views From a Single Image
CVPR 2022
SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles
CVPR 2022
Gradients as Features for Deep Representation Learning
ICLR 2020