Summary of Fast Registration Of Photorealistic Avatars For Vr Facial Animation, by Chaitanya Patel et al.
Fast Registration of Photorealistic Avatars for VR Facial Animationby Chaitanya Patel, Shaojie Bai, Te-Li Wang,…
Summary of Improving the Detection Of Small Oriented Objects in Aerial Images, by Chandler Timm C. Doloriel and Rhandley D. Cajote
Improving the Detection of Small Oriented Objects in Aerial Imagesby Chandler Timm C. Doloriel, Rhandley…
Summary of Long Context Compression with Activation Beacon, by Peitian Zhang et al.
Long Context Compression with Activation Beaconby Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei…
Summary of A Novel Paradigm For Neural Computation: X-net with Learnable Neurons and Adaptable Structure, by Yanjie Li et al.
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structureby Yanjie Li,…
Summary of Pscr: Patches Sampling-based Contrastive Regression For Aigc Image Quality Assessment, by Jiquan Yuan et al.
PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessmentby Jiquan Yuan, Xinyan Cao, Linjing…
Summary of Training Deep Neural Classifiers with Soft Diamond Regularizers, by Olaoluwa Adigun and Bart Kosko
Training Deep Neural Classifiers with Soft Diamond Regularizersby Olaoluwa Adigun, Bart KoskoFirst submitted to arxiv…
Summary of Advancing Parkinson’s Disease Progression Prediction: Comparing Long Short-term Memory Networks and Kolmogorov-arnold Networks, by Abhinav Roy et al.
Advancing Parkinson’s Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networksby Abhinav Roy,…
Summary of Frequency-masked Embedding Inference: a Non-contrastive Approach For Time Series Representation Learning, by En Fu et al.
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…
Summary of Confidence Interval Construction and Conditional Variance Estimation with Dense Relu Networks, by Carlos Misael Madrid Padilla et al.
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networksby Carlos Misael Madrid Padilla,…
Summary of Accurate Coresets For Latent Variable Models and Regularized Regression, by Sanskar Ranjan and Supratim Shit
Accurate Coresets for Latent Variable Models and Regularized Regressionby Sanskar Ranjan, Supratim ShitFirst submitted to…