83 citations · 353 across the 19 of their papers we have counts for
8 papers · 1 filter
DeepInteraction: 3D Object Detection via Modality Interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao +3
Existing top-performance 3D object detectors typically rely on the multi-modal fusion strategy. This design is however fundamentally restricted due to overlooking the modality-spec…
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Xiao Han, Licheng Yu, Xiatian Zhu +3
Large-scale Vision-and-Language (V+L) pre-training for representation learning has proven to be effective in boosting various downstream V+L tasks. However, when it comes to the fa…
Vision Transformers: From Semantic Segmentation to Dense Prediction
Li Zhang, Jiachen Lu, Sixiao Zheng +6
The emergence of vision transformers (ViTs) in image classification has shifted the methodologies for visual representation learning. In particular, ViTs learn visual representatio…
Softmax-free Linear Transformers
Jiachen Lu, Junge Zhang, Xiatian Zhu +3
Vision transformers (ViTs) have pushed the state-of-the-art for visual perception tasks. The self-attention mechanism underpinning the strength of ViTs has a quadratic complexity i…
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu +1
Score-based generative models (SGMs) have recently emerged as a promising class of generative models. However, a fundamental limitation is that their inference is very slow due to…
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu +2
Score-based generative models (SGMs) have recently emerged as a promising class of generative models. The key idea is to produce high-quality images by recurrently adding Gaussian…
PolarFormer: Multi-camera 3D Object Detection with Polar Transformer
Yanqin Jiang, Li Zhang, Zhenwei Miao +4
3D object detection in autonomous driving aims to reason "what" and "where" the objects of interest present in a 3D world. Following the conventional wisdom of previous 2D object d…
Learning Ego 3D Representation as Ray Tracing
Jiachen Lu, Zheyuan Zhou, Xiatian Zhu +2
A self-driving perception model aims to extract 3D semantic representations from multiple cameras collectively into the bird's-eye-view (BEV) coordinate frame of the ego car in ord…