Radu Marculescu
22 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Conference Polyglot
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Keyword Collector
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(5)
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The Questioner
Conferences
WACV (7)
CVPR (5)
ICLR (3)
MIDL (2)
AAAI (1)
CORL (1)
ICML (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
semantic segmentation
(6)
model compression
(5)
convolutional neural network
(4)
medical image segmentation
(4)
image classification
(3)
attention mechanism
(3)
vision transformer
(3)
encoder-decoder architecture
(2)
multi-scale feature
(2)
convolutional attention
(2)
object detection
(2)
low-rank adaptation
(2)
neural network architecture
(2)
temporal consistency
(2)
efficient computing
(2)
model architecture
(2)
optical flow
(2)
neural network optimization
(2)
video editing
(2)
graph neural network
(2)
Papers
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
WACV 2026
NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning
AAAI 2026
SmoothDiffusion-VE: Real-time Generative Video Editing Using Adaptive Feature Cache
WACV 2026
Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks
MIDL 2025
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation
CVPR 2025
EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation
MICCAI 2025
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
WACV 2025
Ada-VE: Training-Free Consistent Video Editing using Adaptive Motion Prior
WACV 2025
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation
WACV 2025
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
WACV 2024
Machine Unlearning for Image-to-Image Generative Models
ICLR 2024
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
CVPR 2024
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
CVPR 2024
Medical Image Segmentation via Cascaded Attention Decoding
WACV 2023
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
ICLR 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
ICML 2023
Efficient On-Device Training via Gradient Filtering
CVPR 2023
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
MIDL 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
NIPS 2023
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
ICLR 2023
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices
CORL 2021
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?
CVPR 2021