Charless Fowlkes
17 papers · 2015–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(12)
Computer Vision
(10)
Deep Learning
(9)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Analysis
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(3)
Core AI
(3)
Domain-Specific
(3)
Models
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Processing
(2)
Keywords
depth estimation
(3)
domain adaptation
(2)
camera pose
(2)
convolutional neural network
(2)
data augmentation
(2)
self-supervised learning
(2)
video understanding
(2)
synthetic data
(2)
image segmentation
(1)
transfer learning
(1)
semantic segmentation
(1)
representation learning
(1)
computer vision
(1)
matrix factorization
(1)
domain generalization
(1)
model selection
(1)
catastrophic forgetting
(1)
attention mechanism
(1)
weakly supervised learning
(1)
multi-task learning
(1)
Papers
Camera Control for Text-to-Image Generation via Learning Viewpoint Tokens
CVPR 2026
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching
ECCV 2024
Instance Tracking in 3D Scenes from Egocentric Videos
CVPR 2024
Creating a Forensic Database of Shoeprints From Online Shoe-Tread Photos
WACV 2023
GeoFill: Reference-Based Image Inpainting With Better Geometric Understanding
WACV 2023
Guided Recommendation for Model Fine-Tuning
CVPR 2023
SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation
WACV 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
CVPR 2022
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
CVPR 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning
CVPR 2021
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
CVPR 2020
Resisting Large Data Variations via Introspective Transformation Network
WACV 2020
Modularized Textual Grounding for Counterfactual Resilience
CVPR 2019
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
ICML 2018
Low-Rank Bilinear Pooling for Fine-Grained Classification
CVPR 2017
Tracking Objects with Higher Order Interactions via Delayed Column Generation
AISTATS 2017
Planar Ultrametrics for Image Segmentation
NeurIPS 2015