Search Results - "Sarfraz, Saquib"

Refine Results
  1. 1

    Domain Adaptive Object Detection via Balancing between Self-Training and Adversarial Learning by Munir, Muhammad Akhtar, Khan, Muhammad Haris, Sarfraz, M. Saquib, Ali, Mohsen

    “…Deep learning based object detectors struggle generalizing to a new target domain bearing significant variations in object and background. Most current methods…”
    Get full text
    Journal Article
  2. 2

    Efficient Parameter-Free Clustering Using First Neighbor Relations by Sarfraz, Saquib, Sharma, Vivek, Stiefelhagen, Rainer

    “…We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is…”
    Get full text
    Conference Proceeding
  3. 3

    Video Face Clustering With Self-Supervised Representation Learning by Sharma, Vivek, Tapaswi, Makarand, Sarfraz, M. Saquib, Stiefelhagen, Rainer

    “…Characters are a key component of understanding the story conveyed in TV series and movies. With the rise of advanced deep face models, identifying face images…”
    Get full text
    Journal Article
  4. 4

    Probabilistic learning for fully automatic face recognition across pose by Saquib Sarfraz, M., Hellwich, Olaf

    Published in Image and vision computing (01-05-2010)
    “…Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a…”
    Get full text
    Journal Article
  5. 5

    Deep Perceptual Mapping for Cross-Modal Face Recognition by Sarfraz, M. Saquib, Stiefelhagen, Rainer

    Published in International journal of computer vision (01-05-2017)
    “…Cross modal face matching between the thermal and visible spectrum is a much desired capability for night-time surveillance and security applications. Due to a…”
    Get full text
    Journal Article
  6. 6

    Comparison of CNNs and Vision Transformers-Based Hybrid Models Using Gradient Profile Loss for Classification of Oil Spills in SAR Images by Basit, Abdul, Siddique, Muhammad Adnan, Bhatti, Muhammad Khurram, Sarfraz, Muhammad Saquib

    Published in Remote sensing (Basel, Switzerland) (01-05-2022)
    “…Oil spillage over a sea or ocean surface is a threat to marine and coastal ecosystems. Spaceborne synthetic aperture radar (SAR) data have been used…”
    Get full text
    Journal Article
  7. 7

    Deep Learning-Based Detection of Oil Spills in Pakistan’s Exclusive Economic Zone from January 2017 to December 2023 by Basit, Abdul, Siddique, Muhammad Adnan, Bashir, Salman, Naseer, Ehtasham, Sarfraz, Muhammad Saquib

    Published in Remote sensing (Basel, Switzerland) (01-07-2024)
    “…Oil spillages on a sea’s or an ocean’s surface are a threat to marine and coastal ecosystems. They are mainly caused by ship accidents, illegal discharge of…”
    Get full text
    Journal Article
  8. 8

    A Multimodal Assistive System for Helping Visually Impaired in Social Interactions by Sarfraz, M. Saquib, Constantinescu, Angela, Zuzej, Melanie, Stiefelhagen, Rainer

    Published in Informatik-Spektrum (01-12-2017)
    “…Access to non-verbal cues in social interactions is vital for people with visual impairment. It has been shown that non-verbal cues such as eye contact, number…”
    Get full text
    Journal Article
  9. 9

    Pose-based Contrastive Learning for Domain Agnostic Activity Representations by Schneider, David, Saquib Sarfraz, M., Roitberg, Alina, Stiefelhagen, Rainer

    “…While recognition accuracies of video classification models trained on conventional benchmarks are gradually saturating, recent studies raise alarm about the…”
    Get full text
    Conference Proceeding
  10. 10

    Clustering based Contrastive Learning for Improving Face Representations by Sharma, Vivek, Tapaswi, Makarand, Sarfraz, M. Saquib, Stiefelhagen, Rainer

    “…A good clustering algorithm can discover natural groupings in data. These groupings, if used wisely, provide a form of weak supervision for learning…”
    Get full text
    Conference Proceeding
  11. 11

    Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks by Jekauc, Darko, Burkart, Diana, Fritsch, Julian, Hesenius, Marc, Meyer, Ole, Sarfraz, Saquib, Stiefelhagen, Rainer

    Published in Knowledge-based systems (08-07-2024)
    “…This study describes an AI model by leveraging advanced Convolutional Neural Networks (CNNs) to recognize affective states in real-world sports settings,…”
    Get full text
    Journal Article
  12. 12

    Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training by Seibold, Constantin, Reiß, Simon, Sarfraz, M. Saquib, Stiefelhagen, Rainer, Kleesiek, Jens

    Published 14-05-2022
    “…When reading images, radiologists generate text reports describing the findings therein. Current state-of-the-art computer-aided diagnosis tools utilize a…”
    Get full text
    Journal Article
  13. 13

    A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking by Sarfraz, M. Saquib, Schumann, Arne, Eberle, Andreas, Stiefelhagen, Rainer

    “…Person re-identification is a challenging retrieval task that requires matching a person's acquired image across non-overlapping camera views. In this paper we…”
    Get full text
    Conference Proceeding
  14. 14

    Deep Perceptual Mapping for Cross-Modal Face Recognition by Sarfraz, M. Saquib, Stiefelhagen, Rainer

    Published 07-07-2016
    “…Cross modal face matching between the thermal and visible spectrum is a much desired capability for night-time surveillance and security applications. Due to a…”
    Get full text
    Journal Article
  15. 15

    A Multimodal Assistive System for Helping Visually Impaired in Social Interactions by Sarfraz, M. Saquib, Constantinescu, Angela, Zuzej, Melanie, Stiefelhagen, Rainer

    Published 29-11-2017
    “…Informatik Spectrum, Springer volume 40,No. 6. 2017 Access to non-verbal cues in social interactions is vital for people with visual impairment. It has been…”
    Get full text
    Journal Article
  16. 16

    Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective by Ahmedt-Aristizabal, David, Nguyen, Kien, Denman, Simon, Sarfraz, M. Saquib, Sridharan, Sridha, Dionisio, Sasha, Fookes, Clinton

    “…Epilepsy monitoring involves the study of videos to assess clinical signs (semiology) to assist with the diagnosis of seizures. Recent advances in the…”
    Get full text
    Conference Proceeding Journal Article
  17. 17

    Motion Signatures for the Analysis of Seizure Evolution in Epilepsy by Ahmedt-Aristizabal, David, Sarfraz, M. Saquib, Denman, Simon, Nguyen, Kien, Fookes, Clinton, Dionisio, Sasha, Stiefelhagen, Rainer

    “…In epilepsy, semiology refers to the study of patient behavior and movement, and their temporal evolution during epileptic seizures. Understanding semiology…”
    Get full text
    Conference Proceeding Journal Article
  18. 18

    Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation by Sarfraz, M. Saquib, Murray, Naila, Sharma, Vivek, Diba, Ali, Van Gool, Luc, Stiefelhagen, Rainer

    “…Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video…”
    Get full text
    Conference Proceeding
  19. 19

    Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction by Sarfraz, M. Saquib, Koulakis, Marios, Seibold, Constantin, Stiefelhagen, Rainer

    “…Dimensionality reduction is crucial both for visualization and preprocessing high dimensional data for machine learning. We introduce a novel method based on a…”
    Get full text
    Conference Proceeding
  20. 20

    Masked Differential Privacy by Schneider, David, Sajadmanesh, Sina, Sehwag, Vikash, Sarfraz, Saquib, Stiefelhagen, Rainer, Lyu, Lingjuan, Sharma, Vivek

    Published 22-10-2024
    “…Proceedings of the 2nd International Workshop on Privacy-Preserving Computer Vision, ECCV 2024 Privacy-preserving computer vision is an important emerging…”
    Get full text
    Journal Article