Deep Learning Day!
When:
Friday, May 13th, 9:00AM - 5:00PMWhere:
Brown University Alumnae HallWhy:
Final Project Presentations For All Who Are Interested!ZOOM:
https://brown.zoom.us/j/94672594681Time | Title | Members |
---|---|---|
9:00 AM | Opening Remarks | |
9:10 AM | Session 1: Computer Vision | (Google Calendar Event) |
9:10 AM | DeepVerse: Database Assisted Object-Retrieval 3D Room Reconstruction |
Sagarika Ramesh, Ramya Harikrishnan, Chiang-Heng Chien |
9:22 AM | Facial Expression Detection and Emoji Conversion | Elbert Wu, Bohao Wang, Ying Sun |
9:34 AM | You Can't See Me: Style Transfer for Optimal Camouflage |
Katie O’Leary, Mike Tapia, Harrison Cho, Andrew Wang |
9:46 AM | Neural Picasso: Compositional Sketch Generator |
Jiahao Liu, Zheyuan Zhou, Yun Li |
10:00 AM | Poster Session (Parallel): | |
Attention-Based Object Detection: CNNs and Transformers to detect objects present in images |
Titas Grusnius, Zainab Iftikhar, Tyler Jacobson, Manar Abdelatty | |
Captioning Images Through Identifiers Team DEA |
Ethan Bove, David Lubawski, Andy Zhou | |
Color Blind Zebra: Colorizing Black & White Images |
Esha Lakhotia, Anoop Manjal, Sam Devorsetz, Jason Eveleth | |
Creatively Captioning Culinary Cuisines | Ian Acosta, Meera Kurup, Sophia Tu, Kelly Wang | |
Detecting Humans In Crowds With Inspiration From YOLOv3 | Edward Huh, Sam Bessey, Paul Xu | |
DLGeo: Calculating Potential Urban Solar Output Using CNNs for Satellite Image Segmentation |
Alexander Kamper, Siddhartha Prasad, Nathan Benavides-Luu | |
Image Colorization: We're colorizing black and white images! Team Coloring Book |
Mazine Suliman, Sabrina Chwalek, Nathan Mugerwa | |
Learning Linear Temporal Logic! Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications |
Andrew Li, Ben Schornstein, Celina Ye, Rob Scheidegger | |
line2picture: Deep learning framework for transforming outlines of portraits to faces |
Truong Cai, Neophytos Christou,Wangdrak Dorji, TaShawn Arabian | |
Regularization Explainability Analysis: On the effects of different regularization methods for image model explainability |
Jay Gopal, Yousef Elgodamy | |
Remove Blocking Artifacts From Compressed Images w/ Deep Learning | Jesse Gallant, Oren Kohavi, Michael Li | |
SinGAN: Reimplementing a generative model from a single natural image |
Keitaro NIshijima, Zachary Chan, Raghav Puri | |
Zoo Crew: Animal Classification Using CNN and KNN Combination |
Seungje (Felix) Lee, William Mclaren, Drew Kirk, and Nico Aliotopier | |
Sketch to Image Generation: Using GANs for Converting Hand-Drawn Sketches to Images |
Yifei Wang, Siyang Li, Tianran Zhang, Neal Yin | |
10:30 AM | Session 2: Biology and Health | (Google Calendar Event) |
10:30 AM | Arrhythmia classification using capsules: A semi-supervised capsule-aided CNN model for classifying arrhythmia types from ECG signals |
Andrei Petrus, Jason Hooker, Varun Kumar |
10:42 AM | Using CycleGAN Image to Image translation to Unbias Melanoma Skin Lesions Data | Mark Adut, Kaan Aygen, Lukas Kania, Emre Toner |
10:54 AM | Aging Single Cell: Deep learning for single-cell age prediction |
Yihuan Hu, Manlin Li, Guanjie Linghu, Doudou Yu |
11:06 AM | Prediction of miRNA Diseases Associations Using Graph Convolutional Network | Xuya Gao, Zeming Liu, Tongtong Zhao |
11:18 AM | Dental Care Recommendations: Deep learning model to develop a recommender system for dental care |
Yijing Gao, Yutong Liu, Qingyan Guo, Wangsan Tian |
11:30 AM | Poster Session (Parallel): | |
Classifying WebMD Drug Reviews Team ACE |
Evan Li, Austin Lang, Camille Zhang | |
Generation of Diverse Image Data Using Style Transfer for Debiasing Melanoma Classification Models Team DL on the dl |
Alexander Le, Deniz Toruner, Kento Abeywardane, Michelle Mai | |
Melanoma Classification from Skin Images | Preeti Nagalamadaka, Aayush Setty, Anishansu Pradhan | |
Neural Chemistry: Automatic Chemical Design Using Data-Driven Molecular Representations |
Krishna Tewari, Ray Vecchio, Cody Sims | |
Re-Implementing P-NET: Biologically-informed neural architecture to improve prediction of prostate cancer states |
Liyuan Ao, Liza Kolev, Bumjin Joo, Brian Kirz | |
Tumor Predictors: Predicting recurrence in ovarian cancer using deep learning |
Reetam Ganguli, Theodore Akpinar, Jeffrey Dai | |
Liver tumor segmentation for improving visualization and treatment outcomes | Abigail Marks, Ria Panjwani, Priyanka Solanky | |
HiC > Fanta: HiCPlus In Tensorflow |
Hannah Julius, Ijeoma Meremikwu, Ivan Pineda-Dominguez, Elizabeth Wu | |
Verifying m6A site-prediction abilities of Gene2Vec against direct m6A-seq-generated data | Jonathan Arditi, Henry Rayner | |
12:00 PM | Lunch Break | |
12:40 PM | Session 3: Time Series and RL | (Google Calendar Event) |
12:40 PM | Arkanoid Breakout Game | Mingye Zhang, Cathy Gao |
12:52 PM | Deep Q-Learning for Atari River Raid | Nange Li, Yingfei Hong, Yuetian Li, Yash Mehta |
1:04 PM | Argoverse’d: Motion Forecasting with Deep Learning Trained on a New Dataset Team Vadimaniacs' Heresy |
Hardy Bright, Robyn Logan, Shane Parr, Ye Wang |
1:16 PM | Credit Card Fraud Detection With Deep Learning | Haolin Chen, Yadi Yang, Yutian Zhang |
1:30 PM | Poster Session (Parallel): | |
Building a Model to Classify Periodic Time-Series Data (and using it to generate some cute animations) |
Advay Mansingka, Momoka Kobayashi, Joanna Tasmin | |
Heavenly Descent: Snake Implementation using Deep Q-Learning |
Eseoghene Ajueyitsi, Kendra Lee, Daniel Li, Ezra Rocha | |
Pete's Roses: Deep learning for sports betting strategy |
Noah Ehrhardt, Geoff Grossman-Mckee, Michael Chung | |
Predicting future crypto prices using an LSTM model | Adam Bredvik, Max Dekle, Damon Burdell | |
Price Predictor / Portfolio Manager for Old School Runescape: Deep learning based forecasting in game item prices based on past market metrics |
Will Jaekle, David Boles, Emmanuel Peters | |
DLNA: DNA Sequence Classification using Deep Learning |
Samuel Murk Caya, Gabriel Gallardo, Liam O’Connor, Jacques von Steuben | |
Analyzing Sentiment of IMDB Movie Reviews | Anika Ahluwalia, Lauren Choi, Naomi Park, Galen Winsor | |
Predicting Housing Prices with Deep Learning | Akshaan Parikh, Kunj Padh, Cruz Fernandes | |
2:00 PM | Session 4: Natural Language Processing | (Google Calendar Event) |
2:00 PM | Ukrainian War Sentiment Analysis + Topic Modeling | Keying Gong, Yifei Song, Zhirui Li, Hanjun Wei |
2:12 PM | Tweet Disasters: Sentiment Analysis to determine which tweets from Twitter are about real disasters |
Kelly Patel, Jialiang Zhou, Jiahao Wei |
2:24 PM | Prediction of the NYT Best Seller Book using an NLP model | Logan Heft, Samaye Lohan, Dongjun Shin, Youn Kyeong Chang |
2:36 PM | AlphaText: A Text Summarization and Q&A Chatbot for Extracting Information From Papers |
Bochen Fu, Jiatao Yuan, Tianqi Liu, Zhuoran Han |
2:48 PM | Polite Pythons: Politeness text style transfer |
Pooja Barai, Emily Nomura, Megan Sindhi |
3:00 PM | Poster Session (Parallel): | |
Abstract-Based Sentiment Analysis using Gated Convolutional Neural Network on Challenge Dataset | Eric Tang, Shreyas Mishra, Sanyu Rajakumar, Alex Bao | |
App-pinion: Neural Temporal Opinion Modelling for Opinion Prediction on Twitter |
John Sullivan, Troy Conklin, Nicholas Bottone, Robert Koch | |
BabySitter! Using Child Language Data to Train Good Language Models |
Mingxuan Ji, Grace Ouedraogo, Yanwan Zhu | |
Fake Reviews Classification | Peter Van Katwyk, Alice Marbach, Ricky Zhong | |
The Reboot: A Deep Learning Sitcom Script Generator |
Grace Lee, Jian Cong Loh, Riya Dulepet | |
Yip Yap Yelp: Predicting Yelp Star Ratings from Written Reviews |
Bridget Griswold, Madison Peters, Hannah O’Keeffe, Cal Stellato | |
3:30 PM | Session 5: Art, Music, and Other Applications | (Google Calendar Event) |
3:30 PM | Music Mood Classification | Breese Sherman, Nathan Plano, Elizabeth Chen, Qingyang Xie |
3:42 PM | AmbienceNet: System for matching text with emotionally resonant music |
Yeunun Choo, Jin Hyeok Noh, Theodora Kunicki |
3:54 PM | Free-Hand Sketch Recognition and Image Retrieval | Yiqing Liang, Shijie Mao, Ziyin Li |
4:06 PM | Doddlebot: Composing Sketched Scenes from Text Descriptions for Interactive Applications |
Radhika Mehrotra, Salvador Brandi, Shipra Priyadarshini, Patrick Connor |
4:20 PM | Poster Session (Parallel): | |
Acouztic: Generating a song with lyrics from words of choice |
Nop Toemtrisna, Phunn Boonchouchouy, Chayathorn Kulthonchalanan | |
Automatic Poetry Generation from Prosaic Text | Arrington Harper, Fernando Cisneros, Pedro Monteiro Borges, Paloma Salseda | |
Brunonian QuickDraw by the Sasketchewan Selects | Kenny Ihenatu, Kris Diallo, Chris Chae, Samuel Musker | |
Creative Adversarial Networks: Generating Art in New Styles Team CAM |
Marc Mapeke, Alana White, Carlos Perez-Ruiz | |
Deep Yearning: Image Classification Model using Visual Transformers |
Ethan Asis, Isabelle Towle, Riki Fameli, Obi Chikezie | |
Fine Art Classification: Classifying pieces of fine art by genre |
Anna Dai, Rena Jiang, Ezra Muratoglu | |
Generating effective and creative logos for companies using GANs Team Losers Studying The Matrix |
Alex Duchnowski, Hongyi Li, Qinan Yu, Sidharth Anand | |
Ode to Code: Generating coherent songs involving singing and lyrics from multiple musical genres and artist styles |
Brian Kim, Dana Lee, Rachel Ma, Kenya Kimata | |
Sign Language Translation | Cormac Collins, Dylan Hu, Jenny Yu, Tianren Dong | |
Style-specific music generation with biaxial LSTM | Xin Lian, Yanyu Tao, Yezhi Pan, Yongjeong Kim | |
The Deep Learners: Music Classification Using Convolutional Recurrent Neural Networks |
Brandon Diaz, Colin Savage, Jasmine Shum, Parker Simon | |
4:50 PM | Closing Remarks |