Tsuhan Chen
13 papers · 2010–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (15) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🌈
Renaissance Researcher
(7)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(15)
🌟
Keyword Trendsetter Combo
(5)
🌱
Topic Pioneer
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(73)
💎
Century Club
(13)
📈
Trend Setter
Conferences
CVPR (5)
ICCV (4)
AAAI (2)
NIPS (2)
Top co-authors
Keywords
scene understanding
(3)
depth estimation
(3)
object detection
(2)
image classification
(2)
attribute classification
(2)
markov random field
(2)
image description
(2)
multi-task learning
(2)
maximum entropy
(1)
few-shot learning
(1)
semantic segmentation
(1)
emotion recognition
(1)
contextual information
(1)
model calibration
(1)
outlier detection
(1)
uncertainty quantification
(1)
robotic grasping
(1)
affective computing
(1)
person description
(1)
energy minimization
(1)
Papers
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
AAAI 2025
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI 2024
An Empirical Study of Language CNN for Image Captioning
ICCV 2017
In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation
CVPR 2016
You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans
ICCV 2015
A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions
CVPR 2015
3D-Based Reasoning with Blocks, Support, and Stability
CVPR 2013
It's Not Polite to Point: Describing People with Uncertain Attributes
CVPR 2013
Revisiting Depth Layers from Occlusions
CVPR 2013
Incorporating Cloud Distribution in Sky Representation
ICCV 2013
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing
ICCV 2013
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
NIPS 2011
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
NIPS 2010