Thomas Verelst
4 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(10)
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Research topics
Keywords
reinforcement learning
(1)
object detection
(1)
weakly supervised learning
(1)
multi-label classification
(1)
human pose estimation
(1)
neural network optimization
(1)
efficient computing
(1)
convolutional neural network
(1)
dense prediction
(1)
policy network
(1)
inference efficiency
(1)
video processing
(1)
inference speed
(1)
model efficiency
(1)
dynamic neural network
(1)
pareto optimization
(1)
dynamic convolution
(1)
block-sparse convolution
(1)
onnx deployment
(1)
spatial sparsity
(1)
Papers
DualRes: Production-ready Dynamic Object Detection
WACV 2026
Spatial Consistency Loss for Training Multi-Label Classifiers From Single-Label Annotations
WACV 2023
BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies
ICCV 2021
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
CVPR 2020