World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
17502
World Ranking
2325
National Ranking
1159

Overview

Rogerio Feris is a researcher affiliated with IBM in the United States, specializing in computer science with a focus on computer vision and artificial intelligence. Their body of work spans multiple subfields including signal processing, radiology and imaging, and cancer research.

Their recent publications reflect a strong engagement with advanced machine learning techniques and visual recognition. Notable papers include:

  • Targeted Supervised Contrastive Learning for Long-Tailed Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Baby Steps Towards Few-Shot Learning with Multiple Semantics, 2022, Pattern Recognition Letters
  • A Broad Study on the Transferability of Visual Representations with Contrastive Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers, 2021, arXiv (Cornell University)
  • Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their work integrates topics such as multimodal machine learning applications, domain adaptation and few-shot learning, human pose and action recognition, advanced neural network applications, image and video retrieval techniques, topic modeling, and music and audio processing.

Frequent co-authors collaborating with Rogerio Feris include Leonid Karlinsky, Rameswar Panda, Kate Saenko, Hilde Kuehne, and Aude Oliva.

Research dissemination primarily occurs through venues including arXiv (Cornell University), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the IEEE/CVF International Conference on Computer Vision (ICCV), Pattern Recognition Letters, and Lecture Notes in Computer Science.

Best Publications

  • A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

    Zhaowei Cai;Quanfu Fan;Rogério Schmidt Feris;Nuno Vasconcelos

  • BlockDrop: Dynamic Inference Paths in Residual Networks

    Zuxuan Wu;Tushar Nagarajan;Abhishek Kumar;Steven Rennie

  • Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network

    Junshi Huang;Rogerio Feris;Qiang Chen;Shuicheng Yan

  • SpotTune: Transfer Learning Through Adaptive Fine-Tuning

    Yunhui Guo;Honghui Shi;Abhishek Kumar;Kristen Grauman

  • Image ranking and retrieval based on multi-attribute queries

    Behjat Siddiquie;Rogerio S. Feris;Larry S. Davis

  • Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

    Yongxi Lu;Abhishek Kumar;Shuangfei Zhai;Yu Cheng

  • RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

    Leonid Karlinsky;Joseph Shtok;Sivan Harary;Eli Schwartz

  • Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging

    Ramesh Raskar;Kar-Han Tan;Rogerio Feris;Jingyi Yu

  • Manifold based analysis of facial expression

    Ya Chang;Changbo Hu;Rogerio Feris;Matthew Turk

  • An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

    Yu Cheng;Yu Cheng;Felix X. Yu;Rogerio S. Feris;Sanjiv Kumar

  • Deep domain adaptation for describing people based on fine-grained clothing attributes

    Qiang Chen;Junshi Huang;Rogerio Feris;Lisa M Brown

  • Learning to Separate Object Sounds by Watching Unlabeled Video

    Ruohan Gao;Rogério Schmidt Feris;Kristen Grauman

  • A Broader Study of Cross-Domain Few-Shot Learning

    Yunhui Guo;Noel C. Codella;Leonid Karlinsky;James V. Codella

  • Targeted Supervised Contrastive Learning for Long-Tailed Recognition

    Unknown

  • Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

    Bowen Cheng;Yunchao Wei;Honghui Shi;Rogério Schmidt Feris

  • Attribute-based people search in surveillance environments

    Daniel A. Vaquero;Rogerio S. Feris;Duan Tran;Lisa Brown

  • Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos

    YingLi Tian;R. S. Feris;Haowei Liu;A. Hampapur

  • Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

    Zhonghao Wang;Mo Yu;Yunchao Wei;Rogerio Feris

  • Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

    Xi Peng;Zhiqiang Tang;Fei Yang;Rogerio S. Feris

  • Designing Category-Level Attributes for Discriminative Visual Recognition

    Felix X. Yu;Liangliang Cao;Rogerio S. Feris;John R. Smith

  • Delta-encoder: an effective sample synthesis method for few-shot object recognition

    Eli Schwartz;Leonid Karlinsky;Joseph Shtok;Sivan Harary

Frequent Co-Authors

Lisa M. Brown
Lisa M. Brown Albert Einstein College of Medicine
Matthew Turk
Matthew Turk Toyota Technological Institute at Chicago
Arun Hampapur
Arun Hampapur Bloom Value
Yu Cheng
Yu Cheng Microsoft (United States)
Yingli Tian
Yingli Tian City University of New York
Ming-Ting Sun
Ming-Ting Sun University of Washington
Sharath Pankanti
Sharath Pankanti IBM (United States)
John R. Smith
John R. Smith IBM (United States)
Raja Giryes
Raja Giryes Tel Aviv University

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