Hisham Cholakkal
Computer Vision and Pattern Recognition · 2019–2025
A researcher in the Science corpus: 11 papers; trusts 1,222 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 441 citations into it; #14,852 of 21,575 by trust here, #7,092 by citations
- Artificial Intelligence — 293 citations into it
- Model Architectures — 62 citations into it
- Media Technology — 46 citations into it
- Evaluation & Benchmarks — 31 citations into it
- Optimization & Training — 20 citations into it
- Atmospheric Science — 14 citations into it
- Ecology — 9 citations into it
Whom Hisham Cholakkal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Andrew Zisserman
- Diederik P. Kingma
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
Who trusts Hisham Cholakkal overall
Papers from Hisham Cholakkal's perspective
Ordered by how strongly the researchers Hisham Cholakkal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (2020) — 195 citations
- EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications (2022) — 374 citations
- Object Counting and Instance Segmentation With Image-Level Supervision (2019) — 133 citations
- Learning Rich Features at High-Speed for Single-Shot Object Detection (2019) — 97 citations
- Enriched Feature Guided Refinement Network for Object Detection (2019) — 81 citations
- 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization (2019) — 174 citations
- Handwriting Transformers (2021) — 71 citations
- Foundation Models Defining a New Era in Vision: A Survey and Outlook (2025) — 379 citations
- GLaMM: Pixel Grounding Large Multimodal Model (2023) — 537 citations
- Transformers in Remote Sensing: A Survey (2022) — 379 citations
- D2Det: Towards High Quality Object Detection and Instance Segmentation (2020) — 278 citations