Search Results for author:
Found 8 papers, 5 papers with code
Language Driven Occupancy Prediction
To alleviate the inaccurate supervision, we propose a semantic transitive labeling pipeline to generate dense and finegrained 3D language occupancy ground truth.
InterNet: Unsupervised Cross-modal Homography Estimation Based on Interleaved Modality Transfer and Self-supervised Homography Prediction
We propose a novel unsupervised cross-modal homography estimation framework, based on interleaved modality transfer and self-supervised homography prediction, named InterNet.
Learned Image Transmission with Hierarchical Variational Autoencoder
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE).
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning
The correlation-based homography estimation network and the consistent feature map projection are combined to form the learnable architecture of SCPNet, boosting the unsupervised learning framework.
Rethinking Early-Fusion Strategies for Improved Multispectral Object Detection
In this paper, we address this issue by improving the performance of efficient single-branch structures.
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
In this paper, we present a novel context and geometry aware voxel transformer.
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
Our transformer block contains a noise-robust cross-attention (NRCA) module and a spatially variant feature fusion (SVFF) module.
Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
We propose the Recurrent homography estimation framework using Homography-guided image Warping and Focus transformer (FocusFormer), named RHWF.
