Robust and scalable aggregation of local features for ultra large-scale retrieval. - Syed Husain; Miroslaw Bober (ICIP, 2014)

On aggregation of local binary descriptors. - Syed Husain; Miroslaw Bober (ICME Workshops, 2016)

Cultivating DNN Diversity for Large Scale Video Labelling. - Mikel Bober-Irizar; Sameed Husain; Eng-Jon Ong; Miroslaw Bober (CoRR, 2017)

Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval. - Eng-Jon Ong; Sameed Husain; Miroslaw Bober (CoRR, 2017)

Improving Large-Scale Image Retrieval Through Robust Aggregation of Local Descriptors. - Syed Sameed Husain; Miroslaw Bober (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection. - Cemre Zor; Muhammad Awais 001; Josef Kittler; Miroslaw Bober; Sameed Husain; Qiuqiang Kong; Christian Kroos (ICASSP, 2019)

Improved HEVC $$ lambda $$ λ -domain rate control algorithm for HDR video. - Junaid Mir; Dumidu S. Talagala; Anil Fernando; Syed Sameed Husain (Signal Image Video Process., 2019)

Deep Architectures and Ensembles for Semantic Video Classification. - Eng-Jon Ong; Syed Sameed Husain; Mikel Bober-Irizar; Miroslaw Bober (IEEE Trans. Circuits Syst. Video Technol., 2019)

REMAP: Multi-Layer Entropy-Guided Pooling of Dense CNN Features for Image Retrieval. - Syed Sameed Husain; Miroslaw Bober (IEEE Trans. Image Process., 2019)

ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval. - Syed Sameed Husain; Eng-Jon Ong; Miroslaw Bober (Int. J. Comput. Vis., 2021)

Subcellular Protein Localisation in the Human Protein Atlas using Ensembles of Diverse Deep Architectures. - Syed Sameed Husain; Eng-Jon Ong; Dmitry Minskiy; Mikel Bober-Irizar; Amaia Irizar; Miroslaw Bober (CoRR, 2022)

Development and validation of a deep learning-based algorithm for drowsiness detection in facial photographs. - Syed Sameed Husain; Junaid Mir; Syed Muhammad Anwar; Waqas Rafique; Muhammad Obaid Ullah (Multim. Tools Appl., 2022)

Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification. - Mahrukh Awan; Asmar Nadeem; Muhammad Junaid Awan; Armin Mustafa; Syed Sameed Husain (ECCV Workshops (19), 2024)

Masked Momentum Contrastive Learning for Semantic Understanding by Observation. - Jiantao Wu; Shentong Mo; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Syed Sameed Husain; Muhammad Awais 001 (ICIP, 2024)

Deep Fisher-Vector Descriptors for Image Retrieval and Scene Recognition. - Syed Sameed Husain; Eng-Jon Ong; Mohamed Faheem Thanveer; Lisa Silva; Miroslaw Bober (MVRMLM@ICMR, 2024)

Understanding the Distributions of Aggregation Layers in Deep Neural Networks. - Eng-Jon Ong; Sameed Husain; Miroslaw Bober (IEEE Trans. Neural Networks Learn. Syst., 2024)

Bridging Self-Supervision and Mechanism of Action Discovery in Morphological Profiling. - Syed Sameed Husain; Jan Bober; Amaia Irizar; Miroslaw Bober (CVPR Workshops, 2025)

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative. - Asmar Nadeem; Faegheh Sardari; Robert Dawes; Syed Sameed Husain; Adrian Hilton 001; Armin Mustafa (ICLR, 2025)

C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging. - Umar Marikkar; Syed Sameed Husain; Muhammad Awais 001; Sara Atito Ali (CoRR, 2025)