IEEE

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language

Abstract: Contrastive Language-Image Pre-training (CLIP) learns robust visual models through language supervision, making it a crucial visual encoding technique for various applications. However, CLIP ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Learn With Jay on MSN

How Word Embeddings Work in Python RNNs?

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...
IEEE

Skeleton-Aware Representation of Spatio-Temporal Kinematics for 3D Human Motion Prediction

Abstract: 3D human motion prediction, which attempts to foresee the behaviors of human, is an issue of great significance in computer vision. Attention-based neural networks and graph convolution ...