Kuan-Chieh Wang
18 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (8) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (38)
π
Conference Polyglot
(8)
π
Academic Marathon
(8)
π
Renaissance Researcher
(5)
π
Keyword Champion
π
Century Club
(18)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(78)
Conferences
NIPS (5)
ICML (4)
CVPR (3)
ICLR (2)
AISTATS (1)
ECCV (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
generative adversarial network
(2)
neural process
(2)
neural field
(2)
multimodal learning
(2)
identity encoding
(2)
model selection
(1)
image generation
(1)
3d reconstruction
(1)
uncertainty quantification
(1)
text classification
(1)
embedding learning
(1)
video generation
(1)
video synthesis
(1)
few-shot learning
(1)
visual grounding
(1)
transfer learning
(1)
image reconstruction
(1)
posterior distribution
(1)
motion capture
(1)
face recognition
(1)
Papers
Omni-ID: Holistic Identity Representation Designed for Generative Tasks
CVPR 2025
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
ICML 2025
Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models
ECCV 2024
Interpreting the Weight Space of Customized Diffusion Models
NIPS 2024
VIMI: Grounding Video Generation through Multi-modal Instruction
EMNLP 2024
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action
CVPR 2023
Generalizable Neural Fields as Partially Observed Neural Processes
ICCV 2023
Diagnosing and Rectifying Vision Models using Language
ICLR 2023
PROB: Probabilistic Objectness for Open World Object Detection
CVPR 2023
LOVM: Language-Only Vision Model Selection
NIPS 2023
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
AISTATS 2021
Variational Model Inversion Attacks
NIPS 2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
NIPS 2021
Your classifier is secretly an energy based model and you should treat it like one
ICLR 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
ICML 2020
Neural Relational Inference for Interacting Systems
ICML 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
ICML 2018
Dualing GANs
NIPS 2017