Deep Learning
T APTRv2: Attention-based Position Update Improves Tracking Any Point Hongyang Li1,2 Hao Zhang
Thus most methods are not general and have to be fine-tuned for each video.
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings Laxman Dhulipala Google Research and UMD Majid Hadian Google DeepMind Rajesh Jayaram
Neural embedding models have become a fundamental component of modern information retrieval (IR) pipelines.
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Implicit Neural Representations (INRs) have previously been used to represent and compress image and video content, demonstrating relatively high decoding speed compared to other methods.
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
In this work, we present MuDI, a novel framework that enables multi-subject personalization by effectively decoupling identities from multiple subjects.