Search Results for author: Victor Fragoso

Found 15 papers, 6 papers with code

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

1 code implementation22 Apr 2024 Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Qin Cai, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Dong Chen, Dongdong Chen, Yen-Chun Chen, Yi-Ling Chen, Parul Chopra, Xiyang Dai, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Victor Fragoso, Dan Iter, Mei Gao, Min Gao, Jianfeng Gao, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Yunsheng Li, Chen Liang, Lars Liden, Ce Liu, Mengchen Liu, Weishung Liu, Eric Lin, Zeqi Lin, Chong Luo, Piyush Madan, Matt Mazzola, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Swadheen Shukla, Xia Song, Masahiro Tanaka, Andrea Tupini, Xin Wang, Lijuan Wang, Chunyu Wang, Yu Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Haiping Wu, Michael Wyatt, Bin Xiao, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Jianwei Yang, ZiYi Yang, Yifan Yang, Donghan Yu, Lu Yuan, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

We introduce phi-3-mini, a 3. 8 billion parameter language model trained on 3. 3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3. 5 (e. g., phi-3-mini achieves 69% on MMLU and 8. 38 on MT-bench), despite being small enough to be deployed on a phone.

Language Modelling

Optimizing Fiducial Marker Placement for Improved Visual Localization

1 code implementation2 Nov 2022 Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard

Our main contribution is a novel framework for modeling camera localizability that incorporates both natural scene features and artificial fiducial markers added to the scene.

Visual Localization

PatchMatch-Based Neighborhood Consensus for Semantic Correspondence

1 code implementation CVPR 2021 Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha

We address estimating dense correspondences between two images depicting different but semantically related scenes.

Semantic correspondence

Efficient Scene Compression for Visual-based Localization

1 code implementation27 Nov 2020 Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso

Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications.

3D Reconstruction Mixed Reality

Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints

1 code implementation27 Nov 2020 Victor Fragoso, Sudipta Sinha

We present gP4Pc, a new method for computing the absolute pose of a generalized camera with unknown internal scale from four corresponding 3D point-and-ray pairs.

HyperSTAR: Task-Aware Hyperparameters for Deep Networks

no code implementations CVPR 2020 Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

To reduce HPO time, we present HyperSTAR (System for Task Aware Hyperparameter Recommendation), a task-aware method to warm-start HPO for deep neural networks.

Hyperparameter Optimization Image Classification

gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors

no code implementations CVPR 2020 Victor Fragoso, Joseph DeGol, Gang Hua

Many real-world applications in augmented reality (AR), 3D mapping, and robotics require both fast and accurate estimation of camera poses and scales from multiple images captured by multiple cameras or a single moving camera.

Patch Correspondences for Interpreting Pixel-level CNNs

no code implementations29 Nov 2017 Victor Fragoso, Chunhui Liu, Aayush Bansal, Deva Ramanan

We present compositional nearest neighbors (CompNN), a simple approach to visually interpreting distributed representations learned by a convolutional neural network (CNN) for pixel-level tasks (e. g., image synthesis and segmentation).

Image-to-Image Translation Segmentation +2

GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion

no code implementations4 Oct 2017 Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen

We present GraphMatch, an approximate yet efficient method for building the matching graph for large-scale structure-from-motion (SfM) pipelines.

graph construction

ANSAC: Adaptive Non-minimal Sample and Consensus

no code implementations27 Sep 2017 Victor Fragoso, Chris Sweeney, Pradeep Sen, Matthew Turk

While RANSAC-based methods are robust to incorrect image correspondences (outliers), their hypothesis generators are not robust to correct image correspondences (inliers) with positional error (noise).

One-Class Slab Support Vector Machine

no code implementations2 Aug 2016 Victor Fragoso, Walter Scheirer, Joao Hespanha, Matthew Turk

This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM.

One-class classifier

Large Scale SfM with the Distributed Camera Model

no code implementations13 Jul 2016 Chris Sweeney, Victor Fragoso, Tobias Hollerer, Matthew Turk

We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM).

Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data

no code implementations7 Feb 2016 Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath

This work addresses these issues by introducing a new method and a new system for robust automated classification of sleep poses in an Intensive Care Unit (ICU) environment.

General Classification

SWIGS: A Swift Guided Sampling Method

no code implementations CVPR 2013 Victor Fragoso, Matthew Turk

We present SWIGS, a Swift and efficient Guided Sampling method for robust model estimation from image feature correspondences.

Homography Estimation

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