The repository contains official PyTorch implementations of training and evaluation codes and pre-trained models for our ICASSP 2024 paper LEFormer. Figure 1: Overview architecture of LEFormer, ...

Abstract: We propose a novel solution for predicting future trajectories of pedestrians. Our method uses a multimodal encoder-decoder transformer architecture, which takes as input both pedestrian ...

Traditional Large Language Models (LLMs) rely on a tokenizer (like BPE or SentencePiece) to convert text into subword tokens before feeding them to the transformer. The Byte Latent Transformer ...

Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...

A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision Encoder, be transformed into a language the Language Model understands and ...

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The Transformer branch is constructed based on the ViT-Base/16 architecture and adopts a block-wise stage-output strategy. Input images are resized to 224×224 and processed through patch embedding and ...

Fermac AI Systems is an Indian AI company developing innovative AI solutions and industry-focused training programs. Its ...

Integrating Visual Sensing and Machine Learning for Advancements in Plant Phenotyping and Precision Agriculture ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...