Tianheng Cheng

Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"