Journals

• Vlad Miclea, Sergiu Nedevschi. Real-Time Semantic Segmentation-Based Stereo Reconstruction/ 10.1109/TITS.2019.2913883/ 1524-9050/IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS/ April 2020
• M.P. Muresan, I. Giosan, S. Nedevschi. Stabilisation and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation, SENSORS, vol. 20, no. 4, article number 1110, FEB 2020
• Vlad Miclea, Sergiu Nedevschi. Monocular Depth Estimation with Improved Long-range Accuracy for UAV Environment Perception/IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING/ March 2021
• Andra Petrovai, Sergiu Nedevschi. Fast Panoptic Segmentation with Soft Attention Embeddings, Sensors, January 2022
• H. Florea, A. Petrovai, I. Giosan, F. Oniga, R. Varga, S. Nedevschi. Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion/2020/ under evaluation IEEE Transactions on Intelligent Transportation Systems
• Andra Petrovai, Sergiu Nedevschi. Semantic Cameras for 360-degree Environment Perception in Automated Urban Driving/ IEEE Transactions on Intelligent Transportation Systems, March 2022
• M.P. Muresan, S. Nedevschi, R. Danescu, “Robust Data Association using Fusion of Data-Driven and Engineered Features for Real Time Pedestrian Tracking in Thermal Images”, SENSORS, Vol. 21 Issue 23, AN 8005, NOV 2021
• Vlad Miclea, S. Nedevschi, Dynamic Semantically Guided Monocular Depth Estimation for UAV Environment Perception, submitted to TO TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING ON JUNE 2022
• Z. Blaga, S. Nedevschi, Forest Inspection Dataset for Aerial Semantic Segmentation and Depth Estimation, submitted to TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING ON JUNE 2022
• H. Petzka and C. Sminchisescu: Non-attracting Regions of Local Minima in Deep and Wide Neural Networks, accepted in Journal of Machine Learning Research, July 2021.

Conferences

• A. Zanfir and C. Sminchisescu. “Deep Learning of Graph Matching”, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 (best paper award honorable mention)
• A. Zanfir, E. Marinoiu (Oneata), M. Zanfir, A. Popa, C. Sminschisescu. “Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images”, Proceedings of the Thirty-second Conference on Neural Information Processing Systems, NIPS 2018
• M. Zanfir , E. Oneata , A. Popa, A. Zanfir , C. Sminchisescu, “Human Synthesis and Scene Compositing”, Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020 )
• M. Fieraru, M. Zanfir, E. Oneata, A. Popa. V. Olaru, C. Sminchisescu, “Three-dimensional Reconstruction of Human Interactions”, Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• M. Fieraru, M. Zanfir, E. Oneata, A. Popa, V. Olaru, C. Sminchisescu, “Learning Complex 3D Human Self-Contact”, Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
• M. Priisalu, C. Paduraru, A. Pirinen, C. Sminchisescu, “Semantic Synthesis of Pedestrian Locomotion”, Proceedings of the Asian Conference on Computer Vision (ACCV), 2020
• Maria Priisalu, Aleksis Pirinen, Ciprian Paduraru, Cristian Sminchisescu. Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing, In Proceedings of Machine Learning Research (Proceedings of CoRL 2021)
• Mihai Fieraru, Mihai Zanfir, Teodor Alexandru Szente, Eduard Gabriel Bazavan, Vlad Olaru, Cristian Sminchisescu. REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision. Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)
• A. Petrovai, S. Nedevschi, “Pseudo-annotation based unsupervised monocular depth estimation”, 2022 Conference on Computer Vision and Pattern Recognition (CVPR). 19-24 June 2022, New Orleans, SUA)
• A. Petrovai, S. Nedevschi, “Time-Space Transformers for Video Panoptic Segmentation”, 2022 IEEE Winter Conference on Applications of Computer Vision (WACV 2022), 4-8 January 2022, Waikoloa, Hawai, USA
• A. Petrovai, S.Nedevschi, “MonoVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-Aware Video Panoptic Segmentation”, under evaluation ECCV 2022
• A.D. Costea, A. Petrovai, S. Nedevschi, ”Fusion Scheme for Semantic and Instance-Level Segmentation”, Proceedings of 2018 IEEE Intelligent Transportation Systems Conference (ITSC), Maui, Hawaii, USA, November 4-7, 2018, pp. 3469-3475.
• V. Miclea, S. Nedevschi, ”Real-Time Semantic Segmentation-Based Depth Up Sampling Using Deep Learning”, Proceedings of 2018 IEEE Intelligent Vehicles Symposium (IV), Changzhou, China, June 26-30, 2018, pp. 300-306
• V. Miclea, S. Nedevschi, L. Miclea, ”Real-Time Stereo Reconstruction Failure Detection and Correction Using Deep Learning”, Proceedings of 2018 IEEE Intelligent Transportation Systems Conference (ITSC), Maui, Hawaii, USA, November 4-7, 2018, pp. 1095-1102
• A. Petrovai, S. Nedevschi, “Efficient instance and semantic segmentation for automated driving”, Proceeding of 2019 IEEE Intelligent Vehicles Symposium (IV 2019), Paris; France; 9 - 12 June, 2019, pp.2575-2581
• A. Petrovai, S. Nedevschi, „Multi-Task Network for Panoptic Segmentation in Automated Driving”, Proceeding of 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 26-30 October,2019
• A. Baraian, S. Nedevschi, „Improved 3D Perception based on Color Monocular Camera for MAV exploiting Image Semantic Segmentation”, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP), 2019, pp. 295-301
• B. C. Z. Blaga, S. Nedevschi, „Semantic Segmentation Learning for Autonomous UAVs using Simulators and Real Data”, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP), 2019,pp. 303-310
• VC. Miclea, S. Nedevschi, Semi-Global Optimization for Classification-Based Monocular Depth Estimation, Proceedings of 2020 IEEE International Conference on Intelligent Robots and Systems (IROS2020), October 25-29, 2020, Las Vegas, SUA
• VC. Miclea, S. Nedevschi , A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms, Proceedings of 2020 IEEE Intelligent Vehicles Symposium (IV2020), October 19–November 13, 2020, Las Vegas, SUA
• A. Petrovai, S. Nedevschi, Real-Time Panoptic Segmentation with Prototype Masks for Automated Driving, Proceedings of 2020 IEEE Intelligent Vehicles Symposium (IV2020), October 19–November 13, 2020, Las Vegas, SUA
• R. Beche, S. Nedevschi, Narrowing the semantic gap between real and synthetic data, Proceedings of 2020 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP2020), September 3-5, 2020, Cluj-Napoca, Romania
• V. Lup, S. Nedevschi, Video Semantic Segmentation leveraging Dense Optical Flow, Proceedings of 2020 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP2020), September 3-5, 2020, Cluj-Napoca, Romania
• B. Maxim, S. Nedevschi, Efficient spatio-temporal point convolution, Proceedings of 2020 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP2020), September 3-5, 2020, Cluj-Napoca, Romania.
• S. Baciu, F. Oniga, S. Nedevschi, Semantic 3D Obstacle Detection Using an Enhanced Probabilistic Voxel Octree Representation, Proceedings of 2020 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP2020), September 3-5, 2020, Cluj-Napoca, Romania
• B. C. Z. Blaga, S. Nedevschi ​ , ​ A Critical Evaluation of Aerial Data Datasets for Semantic Segmentation, Proceedings of 2020 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP2020), September 3-5, 2020, Cluj-Napoca, Romania.
• H. Florea, V.C. Miclea, S. Nedevschi, “WildUAV: Monocular UAV Dataset for Depth Estimation Tasks”, in Proceedings of 17th 2021 IEEE International Conference Intelligent Computer Communication and Processing (ICCP 2021)
• B.C.Z. Blaga, S. Nedevschi, “Weakly Supervised Semantic Segmentation Learning on UAV Video Sequences”, EUSIPCO 2021, Dublin, Ireland
• A. Petrovai, S. Nedevschi, “Pseudo-annotation based unsupervised monocular depth estimation”, 2022 Conference on Computer Vision and Pattern Recognition (CVPR). 19-24 June 2022, New Orleans, SUA
• A. Petrovai, S. Nedevschi, “Time-Space Transformers for Video Panoptic Segmentation”, 2022 IEEE Winter Conference on Applications of Computer Vision (WACV 2022), 4-8 January 2022, Waikoloa, Hawai, USA
• A. Petrovai, S.Nedevschi, “MonoVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-Aware Video Panoptic Segmentation”, under evaluation ECCV 2022
• VC Miclea, S. Nedevschi, Temporal Attention for Monocular Depth Estimation in Aerial Scenarios, submitted to ICECCME 2022
• V. Chiciudean F. Oniga, Pathfinding in a 3D Grid for UAV Navigation, submitted to IEEE ICCP 2022
• E. Gärtner, A. Pirinen, C. Sminchisescu. “Deep Reinforcement Learning for Active Human Pose Estimation”, Proceedings of the Thirty-Fourth AAAI ​of ​Conference on Artificial Intelligence, 2020
• D. Nilsson , A. Pirinen, E. Gärtner , C. Sminchisescu. “Embodied Visual Active Learning for Semantic Segmentation”, Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
• A. Pirinen, E. Gärtner, C. Sminchisescu. “Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction”, Advances in Neural Information Processing Systems, 2019