| Characterizing target-absent human attention Y Chen, Z Yang, S Chakraborty, S Mondal, S Ahn, D Samaras, M Hoai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Predicting visual attention in graphic design documents S Chakraborty, Z Wei, C Kelton, S Ahn, A Balasubramanian, GJ Zelinsky, ... IEEE Transactions on Multimedia 25, 4478-4493, 2022 | 28 | 2022 |
| A dense subgraph based algorithm for compact salient image region detection S Chakraborty, P Mitra Computer Vision and Image Understanding 145 (Light Field for Computer Vision …, 2016 | 15 | 2016 |
| Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics S Chakraborty, S Naha, M Bastan, A Kumar KC, D Samaras Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 13 | 2024 |
| Self-supervised Co-salient Object Detection via Feature Correspondences at Multiple Scales S Chakraborty, D Samaras European Conference on Computer Vision, 231-250, 2024 | 11 | 2024 |
| Visual attention analysis of pathologists examining whole slide images of Prostate cancer S Chakraborty, K Ma, R Gupta, B Knudsen, GJ Zelinsky, JH Saltz, ... 2022 IEEE 19th International symposium on biomedical imaging (ISBI), 1-5, 2022 | 11 | 2022 |
| Predicting the visual attention of pathologists evaluating whole slide images of cancer S Chakraborty, R Gupta, K Ma, D Govind, P Sarder, WT Choi, W Mahmud, ... International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022 | 7 | 2022 |
| Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty S Chakraborty, D Samaras, GJ Zelinsky Journal of Vision 22 (4), 13-13, 2022 | 7 | 2022 |
| Image colourisation using deep feature‐guided image retrieval S Chakraborty IET Image Processing 13 (7), 1130-1137, 2019 | 5 | 2019 |
| A site entropy rate and degree centrality based algorithm for image co-segmentation S Chakraborty, P Mitra Journal of Visual Communication and Image Representation 33, 20-30, 2015 | 5 | 2015 |
| Decoding the visual attention of pathologists to reveal their level of expertise S Chakraborty, R Gupta, O Yaskiv, C Friedman, N Sheuka, D Perez, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
| Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer S Chakraborty, R Xue, R Gupta, O Yaskiv, C Friedman, N Sheuka, ... Medical Image Analysis, 103752, 2025 | 2 | 2025 |
| Deep image inpainting with region prediction at hierarchical scales S Chakraborty, JN Kundu, RV Babu Vision, Graphics and Image Processing (ICVGIP), 2016 10th Indian Conference on, 2016 | 1 | 2016 |
| Predicting pathologist attention during cancer-image readings G Zelinsky, S Chakraborty, J Saltz, D Samaras Journal of Vision 25 (9), 2736-2736, 2025 | | 2025 |
| Decoding theĀ Visual Attention ofĀ Pathologists toĀ Reveal Their Level ofĀ Expertise S Chakraborty, R Gupta, O Yaskiv, C Friedman, N Sheuka, D Perez, ... Lecture notes in computer science, 2024 | | 2024 |
| Decoding Factors Influencing Human Visual Attention S Chakraborty State University of New York at Stony Brook, 2024 | | 2024 |
| Modeling meaning and weighing it against other factors in predicting fixations: you can find whatever result you are looking for S Chakraborty, GJ Zelinsky Journal of Vision 22 (14), 3661-3661, 2022 | | 2022 |
Dimitris SamarasStony Brook UniversityVerified email at cs.stonybrook.edu
