19,899,43,Extracting Training Data from Diffusion Models/////Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models/////Azimuth Super-Resolution for FMCW Radar in Autonomous Driving/////Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction/////Too Large; Data Reduction for Vision-Language Pre-Training/////Break-A-Scene: Extracting Multiple Concepts from a Single Image/////Generalizing Dataset Distillation via Deep Generative Prior/////Open-Vocabulary Semantic Segmnetation with Mask-adapted CLIP/////One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation/////Role-aware Interaction Generation from Textual Description/////Paint by Example: Exemplar-based Image Editing with Diffusion Models/////Finetune like you pretrain: Improved finetuning of zero-shot vision models/////Learning by Sorting: Self-supervised Learning with 
Group Ordering Constraints/////Transient Non-stationarity and Generalisation in Deep Reinforcement Learning/////3D Gaussian Splatting for Real-Time Radiance Field Rendering/////A.I.’s Latest Challenge: the Math Olympics////////////////////,,,,,2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2/////2////////////////////,,,,,A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants./////A talk given by a student, discussion and feedback by all participants.////////////////////,,,,,Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn/////Supasorn Suwajanakorn////////////////////,Improved presentation skills/////Improved question answering/////Ability to give constructive feedback/////Ability to discuss and share ideas//////////////////////////////,,,,,Observed by instructor/////Observed by instructor/////Observed by instructor/////Observed by instructor//////////////////////////////,,,,,Throughout the semester/////Throughout the semester/////Throughout the semester/////Throughout the semester//////////////////////////////,,,,,40%/////20%/////20%/////20%//////////////////////////////,2024-06-12 14:57:42,2024-06-12 14:57:42