Nikos Deligiannis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
21
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCAS | Power-Efficient Spiking Conversion of Deep Unfolded Transformers. | Ahmed Sadaqa, Brent De Weerdt, Ruiqi Chen, Nikos Deligiannis, Bruno da Silva |
| 2025 | CVPR | ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking. | Tzoulio Chamiti, Leandro Di Bella, Adrian Munteanu, Nikos Deligiannis |
| 2025 | ICLR | Zero-Shot Natural Language Explanations. | Fawaz Sammani, Nikos Deligiannis |
| 2024 | ECCV | Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients. | Yiming Chen, Xiangyu Yang, Nikos Deligiannis |
| 2024 | ICASSP | Physics-Guided Variational Graph Autoencoder For Air Quality Inference. | Esther Rodrigo Bonet, Nikos Deligiannis |
| 2024 | ICASSP | Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. | Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis |
| 2024 | ICASSP | Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes. | Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis, Hichem Sahli |
| 2024 | ICIP | On The Detection Of Images Generated From Text. | Yuqing Yang, Charuka Moremada, Nikos Deligiannis |
| 2024 | WACV | Holistic Representation Learning for Multitask Trajectory Anomaly Detection. | Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis |
| 2023 | ICASSP | Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding. | Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis |
| 2023 | ICASSP | Relevance Propagation through Deep Conditional Random Fields. | Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis |
| 2023 | ICCV | Leaping Into Memories: Space-Time Deep Feature Synthesis. | Alexandros Stergiou, Nikos Deligiannis |
| 2023 | ICIP | Locally Accumulated Adam For Distributed Training With Sparse Updates. | Yiming Chen, Nikos Deligiannis |
| 2023 | ICIP | Model-Agnostic Visual Explanations via Approximate Bilinear Models. | Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis |
| 2023 | ISPASS | KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. | Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis |
| 2023 | QoMEX | Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. | Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis |
| 2022 | CVPR | NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. | Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis |
| 2022 | ECCV | Representation Learning with Information Theory to Detect COVID-19 and Its Severity. | Abel Daz Berenguer, Tanmoy Mukherjee, Yifei Da, Matas Nicols Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli |
| 2022 | ICASSP | Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. | Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis |
| 2022 | ICASSP | Novel Class Discovery: A Dependency Approach. | Tanmoy Mukherjee, Nikos Deligiannis |
| 2022 | ICIP | Entropy-Based Feature Extraction for Real-Time Semantic Segmentation. | Lusine Abrahamyan, Nikos Deligiannis |
| 2021 | ICASSP | HCGM-Net: A Deep Unfolding Network for Financial Index Tracking. | Ruben Pauwels, Evaggelia Tsiligianni, Nikos Deligiannis |
| 2021 | ICCV | Bias Loss for Mobile Neural Networks. | Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis |
| 2021 | ISPDC | Keynote Lecture : Gradient compression for efficient distributed deep learning. | Nikos Deligiannis |
| 2021 | MICCAI | Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. | Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi |
| 2021 | UAI | Generalization error bounds for deep unfolding RNNs. | Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis |
| 2020 | ICASSP | Graph Auto-Encoder for Graph Signal Denoising. | Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis |
| 2020 | ICIP | Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. | Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis |
| 2020 | ICPR | Temporal Collaborative Filtering with Graph Convolutional Neural Networks. | Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis |
| 2020 | ICPR | Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network. | Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna |
| 2019 | ICASSP | Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. | Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis |
| 2019 | ICIP | Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm. | Hung Duy Le, Huynh Van Luong, Nikos Deligiannis |
| 2019 | ICIP | Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. | Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis |
| 2019 | NAACL | Fake News Detection using Deep Markov Random Fields. | Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis |
| 2018 | DCC | Online Decomposition of Compressive Streaming Data Using n-l1 Cluster-Weighted Minimization. | Huynh Van Luong, Nikos Deligiannis, Sren Forchhammer, Andr Kaup |
| 2018 | ICASSP | Twitter User Geolocation Using Deep Multiview Learning. | Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis |
| 2018 | ICASSP | Extendable Neural Matrix Completion. | Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis |
| 2018 | WCNC | Data aggregation and recovery for the Internet of Things: A compressive demixing approach. | Evangelos Zimos, Joo F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis |
| 2017 | ICASSP | Rate-distortion trade-offs in acquisition of signal parameters. | Miguel R. D. Rodrigues, Nikos Deligiannis, Lifeng Lai, Yonina C. Eldar |
| 2016 | DCC | The Rate Loss in Binary Source Coding with Decoder Side Information. | Andrei Sechelea, Adrian Munteanu, Samuel Cheng, Nikos Deligiannis |
| 2016 | DCC | Bayesian Compressed Sensing with Heterogeneous Side Information. | Evangelos Zimos, Joo F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis |
| 2016 | ICASSP | Reference-based compressed sensing: A sample complexity approach. | Joo F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues |
| 2016 | ICIP | X-ray image separation via coupled dictionary learning. | Nikos Deligiannis, Joo F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies |
| 2016 | PCS | Distributed coding of multiview sparse sources with joint recovery. | Huynh Van Luong, Nikos Deligiannis, Sren Forchhammer, Andr Kaup |
| 2015 | ICASSP | Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. | Joo F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues |
| 2015 | QoMEX | Perceptual video quality estimation by regression with myopic experts. | Vasileios Giotsas, Nikos Deligiannis, Pam Fisher, Yiannis Andreopoulos |
| 2014 | ICASSP | On the stochastic modeling of desynchronization convergence in wireless sensor networks. | Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos |
| 2013 | DCC | Genome Sequence Compression with Distributed Source Coding. | Shuang Wang, Xiaoqian Jiang, Lijuan Cui, Wenrui Dai, Nikos Deligiannis, Pinghao Li, Hongkai Xiong, Samuel Cheng, Lucila Ohno-Machado |
| 2013 | IM | Optimized segmentation of H.264/AVC video for HTTP adaptive streaming. | Jan Lievens, Shahid M. Satti, Nikos Deligiannis, Peter Schelkens, Adrian Munteanu |
| 2012 | ISITA | An optimization algorithm for scalable multiple description scalar quantizers. | Shahid Mahmood Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis |
| 2012 | PCS | Feedback-constrained Wyner-Ziv video coding. | Jrgen Slowack, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle |
| 2011 | ICIP | Distributed coding of endoscopic video. | Nikos Deligiannis, Frederik Verbist, Joeri Barbarien, Jrgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu |
| 2011 | ICIP | Intra-WZ quantization mismatch in distributed video coding. | Jrgen Slowack, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu |
| 2010 | ICIP | Bitplane intra coding with decoder-side mode decision in distributed video coding. | Jrgen Slowack, Stefaan Mys, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu |
| 2010 | ICISP | Compensating for Motion Estimation Inaccuracies in DVC. | Jrgen Slowack, Jozef Skorupa, Stefaan Mys, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle |
| 2010 | PCS | Correlation modeling with decoder-side quantization distortion estimation for distributed video coding. | Jozef Skorupa, Jan De Cock, Jrgen Slowack, Stefaan Mys, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu |
| 2009 | DCC | Modeling the Correlation Noise in Spatial Domain Distributed Video Coding. | Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Peter Schelkens, Jan Cornelis |
| 2009 | ICASSP | On the side-information dependency of the temporal correlation in Wyner-Ziv video coding. | Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens |