Marculescu, Radu

31 publications

WACV 2025 Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu

CVPR 2025 EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation Md Mostafijur Rahman, Radu Marculescu

CVPRW 2025 From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures Mustafa Munir, Guihong Li, Md Mostafijur Rahman, Alex Zhang, Radu Marculescu

NeurIPS 2025 LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation Md Mostafijur Rahman, Radu Marculescu

NeurIPS 2025 Mitigating Intra- and Inter-Modal Forgetting in Continual Learning of Unified Multimodal Models Xiwen Wei, Mustafa Munir, Radu Marculescu

LoG 2025 Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs Mustafa Munir, Alex Zhang, Radu Marculescu

WACV 2025 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation Xiwen Wei, Guihong Li, Radu Marculescu

WACV 2025 RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu

CVPRW 2024 Cache and Reuse: Rethinking the Efficiency of On-Device Transfer Learning Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

CVPR 2024 EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu

NeurIPSW 2024 Fairness Implications of Machine Unlearning: Bias Risks in Removing NSFW Content from Text-to-Image Models Xiwen Wei, Guihong Li, Radu Marculescu

CVPRW 2024 Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu

WACV 2024 G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation Md Mostafijur Rahman, Radu Marculescu

CVPR 2024 GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu

ICLR 2024 Machine Unlearning for Image-to-Image Generative Models Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu

NeurIPSW 2024 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation Xiwen Wei, Guihong Li, Radu Marculescu

CVPRW 2024 PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu

CVPRW 2024 Scaling Graph Convolutions for Mobile Vision William Avery, Mustafa Munir, Radu Marculescu

CVPRW 2023 Dynamic Multimodal Fusion Zihui Xue, Radu Marculescu

NeurIPS 2023 Efficient Low-Rank Backpropagation for Vision Transformer Adaptation Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

CVPR 2023 Efficient On-Device Training via Gradient Filtering Yuedong Yang, Guihong Li, Radu Marculescu

WACV 2023 Medical Image Segmentation via Cascaded Attention Decoding Md Mostafijur Rahman, Radu Marculescu

CVPRW 2023 MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Mustafa Munir, William Avery, Radu Marculescu

ICLR 2023 Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph Duc N.M Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang

ICML 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu

ICLR 2023 ZiCo: Zero-Shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu

NeurIPSW 2022 On- and Offline Multi-Agent Reinforcement Learning for Disease Mitigation Using Human Mobility Data Sofia Hurtado, Radu Marculescu

CoRL 2021 Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices Yuedong Yang, Zihui Xue, Radu Marculescu

CVPR 2021 How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks with DenseNet-Type Skip Connections? Kartikeya Bhardwaj, Guihong Li, Radu Marculescu

CVPRW 2020 A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu

ECML-PKDD 2020 FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen, Kartikeya Bhardwaj, Radu Marculescu