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| 1 | +--- |
| 2 | +layout: page |
| 3 | +title: CS231n Poster Session |
| 4 | +permalink: /poster-session/ |
| 5 | +--- |
| 6 | + |
| 7 | +# 2017 Stanford CS231n Poster Session # |
| 8 | +<div class='fig figcenter fighighlight'> |
| 9 | + <img src='/assets/bing.jpg'> |
| 10 | +</div> |
| 11 | + |
| 12 | +* **Location: [Bing Concert Hall](https://www.google.com/maps/place/Bing+Concert+Hall/@37.4320543,-122.1660855,15z/data=!4m5!3m4!1s0x0:0xf5f2c6a783cabf93!8m2!3d37.4320543!4d-122.1660855, "title")** |
| 13 | +* **Parking: Parking information can be found [here](https://lbre.stanford.edu/sites/default/files/parking_and_circulation_map_0.pdf "title")** |
| 14 | +* **Sponsor Setup Time: 11:15 am - 12:00 pm** |
| 15 | +* **Poster Session: 12:00 pm - 2:45 pm** |
| 16 | +* **Award Ceremony: 2:55 pm - 3:15 pm** |
| 17 | + |
| 18 | +The 2017 Stanford CS231N poster session will showcase projects in Convolutional Neural Networks for Visual Recognition that students have worked on over the past quarter. This year, 750 students will be presenting over 350 projects. |
| 19 | +The topics range from Generative Adversarial Networks (GANs), healthcare & medical imaging, art & style transfer, satellite imaging, self-driving cars, video understanding and more! We will be awarding 10+ awards to the top posters! The top prizes will be $500+ in value! Stanford affiliates (faculty, staff, students, alumni) and their guests are welcome to attend. Catered food and refreshments will be made available over the course of the event. This poster session is made possible through the generous support of Benchmark, Andreessen Horowitz, Nvidia and Apple! |
| 20 | + |
| 21 | +# List of Projects # |
| 22 | + |
| 23 | +* Convolutional Neural Network Classification of Functional Shoe Types |
| 24 | +* Greedy Layer-wise Training for Weakly-supervised Object Localization and Segmentation |
| 25 | +* Amazon Rainforest Satellite Image Labeling |
| 26 | +* Understanding the Amazon from Space |
| 27 | +* Face detection and recognition with YOLO |
| 28 | +* Semi-supervised learning via adversarial training |
| 29 | +* AutoColorisation |
| 30 | +* Artist Identification with Convolutional Neural Networks |
| 31 | +* Predict DNA methylation states from whole slide images of brain tumors |
| 32 | +* Using Deep Learning for Segmentation of Microscopy Images |
| 33 | +* Understanding Driver’s Intention Using Convolutional Neural Networks |
| 34 | +* Street View Instance Segmentation using R-CNN models |
| 35 | +* FoxNet: A Deep-Learning Agent for Nintendo’s Star Fox 64 |
| 36 | +* Convolutional Neural Nets for Segmentation of Satellite Imagery |
| 37 | +* Spotlight: A Smart Video Highlight Generator |
| 38 | +* Bilinear Pooling and Co-Attention Inspired Models for Visual Question Answering |
| 39 | +* Image-based Product Recommendation System with Convolutional Neural Networks |
| 40 | +* Prototypical one-shot learning using high-dimensional embeddings |
| 41 | +* Deep Learning for Cervical Cancer |
| 42 | +* Image Classification for Tiny ImageNet Challenge |
| 43 | +* Hand Gesture Recognition using Image Processing and Convolutional Neural Network |
| 44 | +* Item Removal Detection for Retail Environments with Neural Networks |
| 45 | +* Hand Gesture Recognition using 3D models and Convolutional Neural Network |
| 46 | +* Plant Disease Detection with Deep Learning |
| 47 | +* Historical and Modern Image-to-Image Translation with Generative Adversarial Networks |
| 48 | +* From Renaissance to Pop: A Study of Artistic Eras using Deep CNNs |
| 49 | +* Freehand Sketch Recognition |
| 50 | +* Deep Convolutional Neural Networks for Lung Cancer Detection |
| 51 | +* Quantum Annealing Assisted Deep Learning for Lung Cancer Detection |
| 52 | +* Convolutional Neural Networks for Pile Up Identification in ATLAS |
| 53 | +* Deep Predictive Action Conditional Neural Network for Frame Prediction in Atari Games |
| 54 | +* Deep Q-Learning with OpenAI Gym |
| 55 | +* Understanding Localized Remote Sensing-Based Crop Yield Prediction using Convolutional Neural Networks |
| 56 | +* YouTube-8M Video Classificatoin |
| 57 | +* Testing Image Understanding through Question Answering |
| 58 | +* Pix2Sketch |
| 59 | +* Finding Protests in Social Media Data |
| 60 | +* Faster R-CNN with RoI Refinement |
| 61 | +* Multi-label Classification on Satellite Images of the Amazon Rainforest |
| 62 | +* Analyzing Deforestation in the Amazon |
| 63 | +* Image Classification with Deep Learning |
| 64 | +* Gaze Capture with CNNs |
| 65 | +* Effectiveness of Style Transfer as a Data Augmentation Technique |
| 66 | +* maaGMA: Modified-Adversarial-Autoencoding Generator with Multiple Adversaries |
| 67 | +* Using Convolutional Neural Networks to Predict Completion Year of Fine Art Paintings |
| 68 | +* ArtTalk: Labeling Images with Thematic and Emotional Content |
| 69 | +* Depth-Based Activity Recognition in ICUs Using Convolutional Neural Networks |
| 70 | +* RouteAI: A Convolutional Neural Network based Router for Integrated Circuits |
| 71 | +* Learning a Visual State Representation for Generative Adversarial Imitation Learning |
| 72 | +* Imitation Learning with THOR |
| 73 | +* Predicting Land Use and Atmospheric Conditions from Amazon Rainforest Satellite Imagery |
| 74 | +* Soccer Stats with Computer Vision |
| 75 | +* Handwritten Text Recognition using Deep Learning |
| 76 | +* Design And Analysis of a Hardware CNN Accelerator |
| 77 | +* Identifying Architectural Styles by Convolutional Neural Network |
| 78 | +* Classification on Tiny ImageNet |
| 79 | +* Trainforest |
| 80 | +* Depth Estimation from Single Image Using Convolutional Neural Networks |
| 81 | +* Deep 3D Human Key Point Estimation |
| 82 | +* Towards Facial Reconstruction from Sparse Data: Utilizing Encoder-Decoder Networks with GANs to Infer Facial Rotations |
| 83 | +* Using Generative Models for Semi-Supervised Learning |
| 84 | +* Labeling Paintings with Thematic and Emotional Content |
| 85 | +* Brain Tumor Segmentation |
| 86 | +* Indoor Target-driven Visual Navigation |
| 87 | +* NeuralKart: A Real-Time Mario Kart 64 AI |
| 88 | +* YOLO-based Adaptive Window Two-stream Convolutional Neural Network for Video Classification |
| 89 | +* Siamese Convolutional Neural Networks for Authorship Verification |
| 90 | +* Deep Convolutional Neural Networks for Automatic Speech Recognition |
| 91 | +* CNNs for Object Recognition in Surveillance |
| 92 | +* Fast Softmax Sampling for Deep Neural Networks |
| 93 | +* Identifying Cervix Types using Deep Convolutional Networks |
| 94 | +* Cervix Screening Classification for Cancer Preventive Treatment |
| 95 | +* Overwhelming Tiny ImageNet: Bayesian Optimization on Residual Networks |
| 96 | +* Recognizing facial expressions using deep learning |
| 97 | +* Detection of Hand Grasping Tasks for “Grab and Go” Groceries |
| 98 | +* Multi-task Learning on Multi-Spectral Images Using GANs for Predicting Poverty |
| 99 | +* Full Resolutional Video Compression Using Recurrent Convolutional Neural Networks |
| 100 | +* Automatic Neuronal Cell Classification in Calcium Imaging with Convolutional Neural Networks |
| 101 | +* Teach Me To Tango - Fidelity Estimation of Visual Odometry Systems for Robust Navigation |
| 102 | +* Deep Reinforcement Learning using Memory-based Approaches |
| 103 | +* Rail Network Detection from Aerial Imagery using Deep Learning |
| 104 | +* Prediction of Personality First Impression with Deep Bimodal LSTM |
| 105 | +* Deep Bayesian Pragmatics for Image Captioning |
| 106 | +* Compression and Acceleration of CNN Training and Evaluation |
| 107 | +* Metric Learning for Clustering Images from Unknown Classes |
| 108 | +* Tiny ImageNet Challenge |
| 109 | +* Cervix Type Classification Using Deep Learning and Image Classification |
| 110 | +* Classification of natural landmarks and human footprint of Amazon using satellite data |
| 111 | +* Deep Networks for Robust Depth Estimation with Single-Photon Sensors |
| 112 | +* Chinese Painting Generation Using Deep Convolutional Generative Adversarial Networks |
| 113 | +* Automatic Manga Colorization with Hint |
| 114 | +* Automatic image colorization using deep neural networks |
| 115 | +* HiDDeN: Hiding Data with Deep Networks |
| 116 | +* MR Contrast Prediction Using Deep Learning |
| 117 | +* Prediction of Head and Neck Cancer Submolecular Types from Pathology Images |
| 118 | +* Variational Autoencoders for Classical Ising Models |
| 119 | +* Convolutional Neural Network Information Fusion based on Dempster-Shafer Theory for Urban Scene Understanding |
| 120 | +* End-to-End Learning for Fighting Forest Fires (EELFFF) |
| 121 | +* Predicting Health using Satellite Images |
| 122 | +* Using Convolutional Neural Networks to Classify Noisy Sports Videos |
| 123 | +* Using Graphical Programming Languages Designed for Novices to Train Neural Networks to Understand and Write Simple Programs |
| 124 | +* CHILDNet: Curiosity-driven Human-In-the-Loop Deep Network |
| 125 | +* Deep Visual Learning of Reddit Images |
| 126 | +* Deeprootz: Mapping the Amazon |
| 127 | +* Land Cover Classification in the Amazon |
| 128 | +* Reconstructing Obfuscated Human Faces |
| 129 | +* Touchy Feely: Real-time Emotion Recognition |
| 130 | +* Adversarial Generator-Encoder Networks Based Visual Recommender System |
| 131 | +* Generative Adversarial Networks for Custom Image Generation |
| 132 | +* Localized Style Transfer Using Semantic Segmentation |
| 133 | +* Differentiating Tumor Cells from Healthy Cells in a Tumor Biopsy using CNNs |
| 134 | +* Mice behaviour analysis in open field test |
| 135 | +* Predicting Lung Cancer Incidence from CT Imagery |
| 136 | +* Convolutional Neural Networks For Automated Surface-Wettability Characterization |
| 137 | +* AI Attack: Learning to Play a Video Game Using Visual Inputs |
| 138 | +* Convolutional Architectures for Self-Driving Cars |
| 139 | +* Neighborhood Watch: Using CNNs to Predict Income Brackets from Google StreetView Images |
| 140 | +* An Automated Art Historian |
| 141 | +* YOLO for real time object detection on mobile |
| 142 | +* Predicting Deforestation in the Amazon |
| 143 | +* Understanding the Amazon from Space |
| 144 | +* Understanding the Amazon from Space |
| 145 | +* Depth-Enhanced Classification Network |
| 146 | +* Lip Reading Word Classification |
| 147 | +* Frame Interpolation Using Generative Adversarial Networks |
| 148 | +* Evaluation of Image Completion Algorithm: Deep Convolutional Generative Adversarial Nets vs. Exemplar-Based Inpainting |
| 149 | +* Semantic Segmented Style Transfer |
| 150 | +* Learning Instance Normalization Parameters for Real-Time Arbitrary Style Transfer |
| 151 | +* Predicting therapeutic efficacy in Non Small Cell Lung Cancer |
| 152 | +* Privacy-Preserving Knowledge Transfer for Hand Hygiene Detection |
| 153 | +* GlimpseNet: Multi-Instance Generative Attention for Full Mammogram Diagnosis |
| 154 | +* Data Classification with Residual Network for Single Particle Imaging Experiments |
| 155 | +* End-to-end models for task-oriented visual dialogue with reinforcement |
| 156 | +* Mapping Tidal Salt Marshes |
| 157 | +* YouTube8-M: Video Classification |
| 158 | +* You CAN Judge a Book by its Cover |
| 159 | +* CLEVR Advancements for High-Level Visual Reasoning Programs |
| 160 | +* Invasive Species Detection |
| 161 | +* Wide Residual Network for the Tiny Image Net Challenge |
| 162 | +* Understanding the Amazon from Space |
| 163 | +* Tiny ImageNet Challenge Investigating the Scaling of Inception Layers for Reduced Scale Classification Problems |
| 164 | +* Mobile, Marker-less, 3D Body Pose Estimation |
| 165 | +* Improving 3D Scene Reconstruction through Object Recognition and Segmentation |
| 166 | +* Can We Train Dogs and Humans Together: Hidden Distribution GANs |
| 167 | +* FlowGAN |
| 168 | +* Judging Thematic Similarity in Paintings |
| 169 | +* Classifying Rjiksmuseum Paintings by Artist |
| 170 | +* Breast Cancer Image Segmentation: Cancer Cell vs Stroma |
| 171 | +* BURNED: Efficient and Accurate Burn Prognosis Using Deep Learning |
| 172 | +* Multiparametric MR Image Analysis for Prostate Cancer Assessment with Convolutional Neural Networks |
| 173 | +* Playing Go without Game Tree Search Using Convolutional Neural Networks |
| 174 | +* Object Detection and Its Implementation on Android Devices |
| 175 | +* Image to Latex |
| 176 | +* XNOR-Net on FPGA |
| 177 | +* A Dense Take on Inception |
| 178 | +* Guiding the management of cervical cancer with convolutional neural networks |
| 179 | +* Deep Learning Approaches for Determining Optimal Cervical Cancer Treatment |
| 180 | +* To Post or Not To Post: Using CNNs to Classify Social Media Worthy Images |
| 181 | +* Understanding Physical Geometry of a Scene from Single Monocular Images |
| 182 | +* Art Generation from text with GANs |
| 183 | +* From 2D Sketch to 3D Shading |
| 184 | +* Exploring Style Transfer |
| 185 | +* Deep Learning for Chest X-ray abnormality detection |
| 186 | +* MRI to MGMT: Predicting Drug Efficacy for Glioblastoma Patients |
| 187 | +* Geological scenario identification using seismic impedance data |
| 188 | +* Indoor Navigation with Imitation Learning |
| 189 | +* Playing Atari Games with Deep Learning |
| 190 | +* Extraction of Building Footprints from Satellite Imagery |
| 191 | +* Video Understanding: From Video Classification to Video Captioning |
| 192 | +* Where is Waldo, a deep-learning approach to general purpose template matching |
| 193 | +* Intra-Class and Inter-Class Feature Learning through Deep Metric Learning for Large Scale Image Retrieval |
| 194 | +* Automated Smart TV UI Performance Testing with Visual Recognition |
| 195 | +* Attention Networks for ImageNet Classification |
| 196 | +* Understanding the Amazon Basin from Space |
| 197 | +* StereoPhonic: Depth From Stereo on Phones |
| 198 | +* Assessing Driver Distraction from Real-Time Video |
| 199 | +* Colorization using ConvNets and GAN |
| 200 | +* Multi-instances text-to-image generation with StackGAN |
| 201 | +* Mixed Style Transfer |
| 202 | +* Automatic Sketch Colourization |
| 203 | +* Deep Neural Nets for Brain Tumor Segmentation |
| 204 | +* Vision-Based Approach to Senior Healthcare: Depth-Based Activity Recognition with Convolutional Neural Networks |
| 205 | +* Unsupervised Deep Learning with variational autoencoder for Interpretable Mammogram CBIR and Risk scoring |
| 206 | +* Deep Learning application to proton radiography analysis |
| 207 | +* Single Stage Detector for Object Detection |
| 208 | +* CNNs for wide-area precipitation estimation from geostationary satellite imagery |
| 209 | +* Real-time Surveillance Video Analytics System |
| 210 | +* Adaptive Regularization for Neural Networks |
| 211 | +* Tracking Human Impact on the Amazon rainforest |
| 212 | +* Deep Convolutional Neural Networks for ImageNet Classification |
| 213 | +* UAV Depth Perception from Visual Images using a Deep Convolutional Neural Network |
| 214 | +* Extracting Kinematic Information Using Pose Estimation |
| 215 | +* Label-Free Object Detection in Video |
| 216 | +* visual search by brushing |
| 217 | +* Style Transfer of Images Incorporating Depth Perception and Object Segmentation |
| 218 | +* EXIF Estimation With Convolutional Neural Networks |
| 219 | +* Differentiable Neural Computer for Maze Navigation |
| 220 | +* A3C Methods for General Game Playing |
| 221 | +* Temporal Poverty Prediction |
| 222 | +* Superflow: Frame Prediction with Convolutional Neural Network |
| 223 | +* Scene Classification with Convolutional Neural Networks |
| 224 | +* Understand Amazon Deforestation using Neural Network |
| 225 | +* Unconstrained Handwriting Recognition |
| 226 | +* Tiny ImageNet Challenge |
| 227 | +* Depth Regression from a Single Monocular Image using a Multi-Scale Deep Network |
| 228 | +* Re(live) Photos: Predicting Neighboring Frames with GANs |
| 229 | +* Autoencoders for Inverse Rendering |
| 230 | +* Smooth In-Image Style Transitions |
| 231 | +* Accelerating dynamic magnetic resonance image reconstruction using deep convolutional neural networks |
| 232 | +* Brendan - A Deep Convolutional Network for Representing Latent Features of Protein-Ligand Binding Poses |
| 233 | +* Classifying grocery items images using Convolutional Neural Networks |
| 234 | +* Motion Prediction from Trajectory and Top-Down Visual Data |
| 235 | +* Detecting videos containing (child) pornography |
| 236 | +* Video frame Interpolation and extrapolation |
| 237 | +* Combining RNN and CNN to Understand the Usefulness of Yelp Reviews |
| 238 | +* Malicious Dropout |
| 239 | +* Neural Combinatorial Optimization for Solving Jigsaw Puzzles |
| 240 | +* Exploring Methods on Tiny ImageNet Problem |
| 241 | +* The Power of Inception: Tackling the Tiny ImageNet Challenge |
| 242 | +* Facial Emotion Recognition for Wild Images |
| 243 | +* Generative Text to Image Synthesis with Applications to Reinforcement Learning in Minecraft |
| 244 | +* Filling the Blanks: GANs vs RNNs |
| 245 | +* Style transfer between two photographs |
| 246 | +* Multi-style Transfer: Generalizing Style Transfer to an Artist |
| 247 | +* Patch-based Head and Neck Cancer Subtype Classification |
| 248 | +* Early Stage Integrated Circuit Design Efficacy Prediction using Congestion and Cell Density Images |
| 249 | +* Trajectory-Aware Visual Navigation in Indoor Scenes with Target-driven Deep Reinforcement Learning |
| 250 | +* Playing Geometry Dash with Deep Reinforcement Learning |
| 251 | +* UAV Road Mapping Using Convolutional Neural Nets |
| 252 | +* Detecting Guns in Video Content |
| 253 | +* Selecting Youtube Video Thumbnails via Convolutional Neural Networks |
| 254 | +* Real-time Object detection |
| 255 | +* Classifying U.S. Houses by Architectural Style |
| 256 | +* Labeling Images with thematic and emotional content |
| 257 | +* Understanding the Amazon from Space |
| 258 | +* DeepRootz: Classifying satellite images of the Amazon rainforest |
| 259 | +* Deep Multi-Label Classification for High Resolution Satellite Imagery of Rainforests |
| 260 | +* Deep Video Interpolation |
| 261 | +* Ava Makeup |
| 262 | +* Class-Conditional Super-resolution with GANs |
| 263 | +* Super Resolution on Video using GANs |
| 264 | +* Line Drawing Colorization |
| 265 | +* DeepSynth: Synthesizing A Musical Instrument With Video |
| 266 | +* Multimodal Brain MRI Tumor Segmentation via Convolutional Neural Networks |
| 267 | +* Automated Detection of Diabetic Retinopathy using Deep Learning |
| 268 | +* Wave-dynamics simulation using deep neural networks |
| 269 | +* Real-Time Multiple Object Tracking for Autonomous Cars |
| 270 | +* Target-Driven Navigation with Imitation Learning |
| 271 | +* Self-Driving Car Steering Angle Prediction Based on Image Recognition |
| 272 | +* Discovering Scenic Roads Using Neural Networks |
| 273 | +* Google Cloud and YouTube-8M Video Understanding Challenge |
| 274 | +* Applying NLP Deep Learning Ideas to Image Classification |
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