Manmohan Chandraker
【Bio】a tenure-track faculty member
【Research】 3D reconstruction, scene understanding and graphics-based vision, with applications in autonomous driving, robotics and augmented reality

William Wang
【Bio】Assistant Professor,Leader of a group
【Research】machine learning, reinforment learning, NLP

Zhuowen Tu Zhuowen Tu
【Bio】Associate professor
【Focus on】studying statistical learning/computing models for structured, large-scale, and multi-modality data prediction

  • 2017 ICCV Introspective Neural Networks for Generative Modeling
  • 2015 TR Holistically-Nested Edge Detection
  • 2015 AISTATS Deeply-Supervised Nets
  • 2014 WACV Scale-Space Sift Flow
  • 2013 Neuroinformatics BrainParser: Integrated Deformable Templates and Discriminative Models for Robust 3D Brain MRI Segmentation
  • 2013 ICML Fixed-Point Model for Structured Labeling
  • 2013 CVPR Harvesting Mid-level Visual Concepts from Large-scale Internet Images
  • 2013 ICML Max-Margin Multiple Instance Dictionary Learning
  • 2012 CVPR Affinity Learning via Self-diffusion for Image Segmentation and Clustering
  • 2012 CVPR Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification
  • 2011 TMI Robust Brain Extraction Across Datasets and Comparison with Publicly Available Methods
  • 2009 BMVC Integral Channel Features
  • 2008 CVPR Auto-context and Its application to High-level Vision Tasks
  • 2002 PAMI Image Segmentation by Data-Driven Markov Chain Monte Carlo

Stefano Soatto Stefano Soatto
【Bio】Associate professor, leader of a group
【Focus on】infer properties of the physical world such as shape, motion, location and material properties of objects within

Nuno Vasconcelos Nuno Vasconcelos
【Bio】Professor, leader of a group
【Focus on】sophisticated recognition, parsing, retrieval, classification, indexing, browsing, modeling, and compression of visual content

  • 2017 CVPR Deep Learning with Low Precision by Half-wave Gaussian Quantization
  • 2017 CVPR Semantically Consistent Regularization for Zero-Shot Recognition
  • 2016 ECCV A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
  • 2015 ICCV Generic Promotion of Diffusion-Based Salient Object Detection
  • 2015 ICCV Learning Complexity-Aware Cascades for Deep Pedestrian Detection
  • 2014 ICML Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
  • 2012 CVPR Boosting Algorithms for Simultaneous Feature Extraction and Selection
  • 2011 NIPS Multiclass Boosting: Theory and Algorithms
  • 2011 CVPR TaylorBoost: First and Second Order Boosting Algorithms with Explicit Margin Control

Serge Belongie Serge Belongie
【Bio】Professor, leader of a group
【Focus on】object detection, scene parsing

Piotr Dollar Piotr Dollar
【Bio】Researcher of Facebook, worked at Microsoft
【Focus on】Object Detection,Pose Estimation, Multiple Instance & Multiple Component Learning, Boundary & Feature Learning

  • 2015 PAMI Fast Edge Detection Using Structured Forests
  • 2014 ECCV Edge Boxes: Locating Object Proposals from Edges
  • 2013 BMVC Merging Pose Estimates Across Space and Time
  • 2009 CVPR Pedestrian Detection: A Benchmark
  • 2006 NIPS Learning to Traverse Image Manifolds