PPT-Large Scale Visual Recognition Challenge 2011

Alex Berg Stony Brook Jia Deng Stanford amp Princeton Sanjeev Satheesh Stanford Hao Su Stanford FeiFei Li Stanford LSVRC 2011 Car Categorization Localization Car Large. Weiqiang. . Ren. , Chong Wang, . Yanhua. Cheng, . Kaiqi. . Huang, . Tieniu. . Tan. {. wqren,cwang,yhcheng,kqhuang,tnt. }@nlpr.ia.ac.cn. Task2 : Classification + Localization. Task 2b: . Classification + localization . Alex Berg. Stony Brook University. I work on recognition:. features – action recognition – alignment – detection – attributes – hierarchical image classification & retrieval. + machine learning for large scale recognition. Raw Scale Raw Scale Raw Scale Raw Scale Score Score Score Score Score Score Score Score 86 100 64 80 42 66 20 42 85 98 63 79 41 66 19 41 84 97 62 79 40 65 18 39 83 95 61 78 39 64 17 38 82 94 60 77 38 Chapter . 2: Perception (Part II). also see: neurological structures.pdf. also see: Kellogg chapter 2 (part I).. pdf. Fund. . of Cognitive . Psychology (2. nd. ) . (Kellogg). Fall . 2013. Mark Van Selst. Summarizing Web Pages for Search and Revisitation. Jaime Teevan, Ed Cutrell, Danyel Fisher, Steven Drucker, . G. onzalo Ramos, Paul André. 1. , Chang Hu. 2. Microsoft Corporation. 1. University of Southampton . Fei-Fei. Li and Olga Russakovsky. Refernce. to paper, photos, vision-lab, . stanford. logos. Olga . Russakovsky. ,. . Jia. . Deng, . Zhiheng. Huang, . Alex . Berg, Li . Fei. -. Fei. Detecting avocados to zucchinis: what have we done, and where are we going? ICCV 2013 . E . Wolf decoy for geese (plenty in New England).. Why are these decoys efficient?. Geese do not have pictures to teach their young ones what animals to avoid…. … and so they must be born with images of predators engraved in their brain. Important dates.. Date. What needs to happen?. Who. needs it?. Friday 2. nd. May. (Week after half. term). All. ideas for activities and charities.. Miss Brennan. Wednesday 7. th. May. You will get. 2. Question to Consider. What are the key challenges police officers face when dealing with persons in behavioral crisis?. 3. Recognizing a. Person in Crisis. Crisis Recognition. 4. Behavioral Crisis: A Definition. Goal Two: Explain how the visual system enables us to see, and by communicating with the brain, to perceive the world.. The Visual Stimulus and the Eye. Light. . is a form of electromagnetic energy. Light travels through space in waves. 16/03/2011. 1. Rui. Min. Multimedia Communications Dept.. EURECOM. Sophia . Antipolis. , France. min@eurecom.fr. Abdenour. . Hadid. . Machine Vision Group. University of Oulu. Oulu, Finland. hadid@ee.oulu.fi. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. Udit Roy. CVIT, IIIT Hyderabad. . Advisor: C. V. Jawahar. Co-advisor: Karteek Alahari, Inria. . . Overview. Introduction. Text Detection. Cropped Word Recognition & Retrieval. End-to-End Frameworks. also see: neurological structures.pdf. also see: Kellogg chapter 2 (part I).. pdf. Fund. . of Cognitive . Psychology (2. nd. ) . (Kellogg). Fall . 2013. Mark Van Selst. San Jose State University. Assignment 2: Neuroscience (5%).