http://cs231n.stanford.edu/reports2016.html
Includes:
- DeepPaint: A Tool For Image Inpainting
Suleman Kazi, Kushagr Gupta, Terry Kong- Attentional Scene Classification with Human Eye Movements
Alex Kuefler- Multi-View 3D Pose Estimation from Single Depth Images
Boya Peng, Zelun Luo- Supporting humanitarian mapping with deep learning
Lars Roemheld- Image Colorization with Deep Convolutional Neural Networks
Jeff Hwang, You Zhou- The Game Imitation: A Portable Deep Learning Model for Modern Gaming AI
Zhao Chen, Darvin Yi- Stochastic Video Prediction with Deep Conditional Generative Models
Rui Shu- Detecting Diabetic Retinopathy
Tanner Gilligan, Marco Alban- Automatic atlas-based segmentation of NISSL stained mouse brain sections using convolutional neural network
Jing Xiong, Feiran Wang, Jian Zhang- Pose Estimation on Depth Images with Convolutional Neural Network
Jingwei Huang- Deep Q-Learning for PAC-MAN
Bernardo Ramos, Kushal Ranjan, Amelia Christensen- Recognizing Handwritten Characters
Lisa Yan
Automated Image Timestamp Inference using Convolutional Neural Networks
Prafull Sharma, Michel Shoemaker, David Pan- Show, Divide and Neural: Weighted Neural Style Transfer
Rishabh Bhargava, Ethan Chan- Neural Fill
Russell Kaplan, Christopher Sauer, Alexander Lin- Neural Diary: Forming Compressed Visual Stories in Real-Time
Edward Lee- Model-Based Reinforcement Learning for Playing Atari Games
Irving Hsu, Justin Fu- Deep Reinforcement Learning for Simulated Autonomous Vehicle Control
Raphael Palefsky-Smith, April Yu, Rishi Bedi- Cell Nucleus Tracking using Convolutional Neural Networks
Anton Jackson-Smith- Optimizing Convolutional Networks
Timothy Dozat- Multi-Agent Deep Reinforcement Learning
Maxim Egorov- Now This is Pod Racing
Alexander Dewing, Xiaonan Tong- Deep Learning of Spatial and Temporal Features for Automotive Prediction
Tim Wheeler, Jeremy Morton- Complexity Beyond the Trigram: Identifying Sign Languages from Video
Pamela Toman- Signature Verification with Convolutional Neural Networks
Gabriel Alvarez, Blue Sheffer, Morgan Bryant- Loopy Neural Nets: Imitating Feedback Loops in the Human Brain
Isaac Caswell, Lisa Wang, Chuanqi Shen- DeepFace: Face Generation using Deep Learning
Hardie Cate, Fahim Dalvi, Zeshan Hussain- Pruning of Winograd and FFT Convolution Algorithm
Xingyu Liu, Yatish Turakhia- Playing Super Hexagon with Convolutional Neural Networks
Jason Lewis- Heirarchical Deep Convolutional Neural Networks: An Insect Classification Application
Jeffrey Glick, Katarina Miller- Convolutional Neural Networks for Left Ventricle Volume Estimation
Cheryl Danner, Carol Hsin- Automated Left Ventricle Segmentation in Cardiac MRIs with Convolutional Neural Networks
Taman Narayan- SherlockNet: Exploring 100 Years of Western Book Illustrations
Brian Do, Luda Zhao, Karen Wang- Automated Bone Age Assessment
Matthew Chen- Ball-by-Ball Outcome Prediction for Cricket Matches
Anusha Balakrishnan, Kalpit Dixit- Object Detection with Reduced Image Qualities
Shiquan Wang, Hao Jiang- Pulmonary Nodule Classification with Convolutional Neural Networks
Sheila Ramaswamy, Karen Truong- DeepVideo: Video Summarization using Temporal Sequence Modelling
Juhi Amitkumar Naik- Deep Residual Learning for Direct Perception in Autonomous Driving
Zuozhen Liu, Yixin Wang- Distilling Knowledge to Specialist ConvNets for Object Recognition with Clustered Classes
Nathanael Romano, Robin Schucker- Measuring Cellular Semantic Distance with Siamese Neural Nets
Morgan Paull- Hitting Depth: Investigating Robustness to Adversarial Examples in Deep Convolutional Neural Networks
Mihail Eric, Chris Billovits, Nipun Agarwala- Using Convolutional and Recurrent Neural Networks on Magnetoencephalography Data to Assess Neuroplasticity
Irán Román- Automatic Colorization with Deep Convolutional Generative Adversarial Networks
Stephen Koo- Disney Characters: Classifying Commercial Merchandise based on Cartoon Characters
Paula Kusumaputri, Edwin Park- DeepMammo
Daniel Levy, Arzav Jain- Augmenting Nearest Neighbor-Based Algorithms with Siamese Neural Networks
Gene Lewis, Wilbur Yang- Traffic Sign Detection Using You Only Look Once Framework
Royce Cheng-Yue, Chung Yu Wang- ResFuse and RefiNets: Enhanced CNN architectures for image classification
Frederic Ren, Allen Nie, Nihit Desai- Predict attribute labels for restaurants using user-submitted photos
Shubham Gupta, Vinaya Polamreddi- Using Convolutional Neural Networks to demystify aesthetic works of art
Pujun Bhatnagar- Let Blind People See: Real-Time Visual Recognition with Results Converted to 3-D Audio
Rui (Forest) Jiang, Qian Lin, Shuhui Qu- Lip-Reading with CNNs and LSTMs
Sameep Bagadia, Amit Garg, Jonathan Noyola- Tracking a Parking Lot’s Empty Spaces Without Sensors
Jordan Cazamias, Martina Marek- Detecting and Classifying Lung Nodules in Chest Radiographs
Isabel Bush- Multi-Frame Video Super Resolution using Deep Convolutional Networks
Alex Greaves, Hanna Winter- Facial Affect Detection Using Convolutional Neural Networks
Sherrie Wang- Solving human psychophysics tasks with 3D convolutional neural networks
Daniel Birman, Dylan Cable- Predicting future optical flow from static video frames
Pol Rosello- Neural Networks with Input Specified Thresholds
Fei Liu, Junyang Qian- Recognizing Handwritten Japanese Characters Using Deep Convolutional Neural Networks
Charlie Tsai- 3D Object Classification using Shape Distributions and Deep Learning
Melvin Low- Improving the adversarial robustness of Convnets
Akash Maharaj- Playing Flappybird with Deep Reinforcement Learning
Naveen Appiah Balaji, Sagar Vare- Neural Network for 3D object classification
Lin Shao, Peng Xu- Facial Expression Recognition with Convolutional Neural Networks
Vivek Choksi, Arushi Raghuvanshi- Quantifying Mammalian Learning: Large-Scale Detection of Dendritic Spines
Seth Hildick-Smith, Ivaylo Bahtchevanov , John Lambert- Intelligent coloring of greyscale images using CNNs
Tian Zhao, Ross Daly- Convolutional Neural Networks for Facial Age and Gender Prediction
Ari Ekmekji- ambience_is_classy or good_for_kids? : Yelp Restaurant Classification Challenge
Jee Ian Tam- Understanding Visual Art with CNNs
Michael Baumer- Action Recognition and Detection Using CNNs and LSTMs
Helen Jiang, Gary Thung- Facial keypoints detection using Neural Network
Chenyue Meng, Shutong Zhang- Near Real-Time Super-Resolution Video
David Zeng- Transforming How We Diagnose Heart Disease Using Convolutional Neural Networks
Viswajith Venugopal, Swaroop Ramaswamy- Improving image feature representations with noisy similarity of text captions
Dan Iter- A Recurrent Neural Game Engine
David Gottlieb- Playing Tetris with Deep Reinforcement Learning
Matt Stevens, Sabeek Pradhan- Quantifying Invariance in Convolutional Neural Networks
Eric Kauderer-Abrams- Yelp Restaurant Photo Classification
Jade Huang- Diagnosis of Heart Disease via CNNs
Yanyang Kong, Kaicheng Wang- Single Image Depth Prediction Using Convolutional Neural Networks
Ralph Ma, Jack Zhu- Read my Hands: Translating American Sign Language to Text
Sigberto Alarcon Viesca, Brandon Garcia- Game playing using recurrent neural networks
Nic Zhang- Fully Connected Convolutional Neural Networks for Lung Tumor Segmentation
Austin Ray- Residual Networks for Tiny ImageNet
Hansohl Kim- Facial Expression Recognition
Hsiao Chen Chang, Emilien Dupont, William Zhang- Geolocalization of Street View Images: From Pixels to Places
Blake Wulfe, David Hershey- Classifying Restaurant Attributes With Deep Learning
Pedro Garzon, Diveesh Singh- Abstract concept & emotion detection of tagged images with CNNs
Youssef Ahres, Nikolaus Volk- Convolutional Neural Networks for Facial Expression Recognition
Azar Fazel, Shima Alizadeh- Facial Emotion Recognition in Real Time
Dan Duncan, Chris English, Gautam Shine- A New Algorithm for Fully Automatic Brain Tumor Segmentation with 3-D Convolutional Neural Networks
Christopher Elamri, Teun de Planque- Fast Unsupervised Object Localization
Mihir Mongia, deepak menghani, Anjan Dwaraknath- Facial Keypoint Detection
Shayne Longpre, Ajay Sohmshetty- Cardiovascular Edge Detection using Neural Networks
Gabriel Maher- Convolution Neural Networks for Chinese Handwriting Recognition
Xu Chen- Music Structure Segmentation with Convolutional Neural Networks
Tim O’Brien- Facial Expression Recognition with Selected Partial Facial Feature Using CNN
Yang Li, Chenjie Yang , Weier Wan- Brain tumour segmentation from MRI
Raunaq Rewari- Nighttime Light Predictions from Satellite Imagery
Rachel Luo, Neal Jean, Jake Kim- Coloring Grayscale image
Vivek Bagaria, Kedar Tatwawadi- Yelp Restaurant Photo Classification: MIML Approach with CNNs
Raghav Gupta, Pulkit Agrawal- Pedestrian Attribute Detection using CNN
Agrim Gupta, Jayanth Ramesh- Multiple Object Recognition with Focusing and Blurring
Holly Chiang, Yifan Ge, Connie Wu- Image Captioning with Attention
Ye Tian, Tianlun Li- Machine Cashier
Roy Chan- Tractable Neural Networks for Identity Recognition
David Eng, Jenny Hong- Models of Attention for Video Captioning
Dieterich Lawson, Blaine Rister- Geolocating Images: Where in the world was this taken?
Angela Sy, Cynthia Day- Flower Taxonomic Classification using CNNs
Xavier Mignot, Maxwell Siegelman- Convolutional Neural Networks for Estimating Left Ventricular Volume
Ryan Silva, Maksim Korolev- Going Deeper on the Tiny Imagenet Challenge
Andrew Zhai- Tiny ImageNet Visual Recognition Challenge
Anna Shcherbina- Convolutional Neural Network for Traditional Chinese Calligraphy Recognition
Boqi Li- Image Detection Techniques on the Daimler Monocular Pedestrian Detection Benchmark Data
Christopher Ling- Study of Residual Networks for Image Recognition
Mohammad Sadegh Ebrahimi, Hossein Karkeh Abadi- Using Convolutional Neural Network for the Tiny ImageNet Challenge
Jason Ting- Neurofusion: Fusing MEG and EEG Data
Paul Warren- Virtual art museum
Manikanta Kotaru, Varun Vijay Kumar- Concept Learning on Yelp Restaurant Classification
Shenxiu Liu, Haoming Li- Apparel classification using CNNs
Rohit Patki, Suhas Suresha- A network combination of ResNet and GoogLeNet to tackle Tiny ImageNet
William Shen- Yelp Restaurant Photo Classification Challenge
Rajarshi Roy- Application of Convoluted Neural Networks for Pedestrian Detection
Anil Variyar- Classifying Restaurants with Yelp Photos
Mike Yu, Emma Marriott, Aaron Zweig- Tiny ImageNet Challenge
Vani Khosla- Identifying the Higgs Boson
Anton Apostolatos, Leonard Bronner- Logo Recognition in Real World Images
Naveen Arivazhagan