3 accepted papers
Modern video generation frameworks based on Latent Diffusion Models suffer from inefficiencies in tokenization due to the Frame-Proportional Information Assumption. Existing tokenizers provide fixed temporal compression rates, causing the computational cost of the diffusion model to scale linearly w…
"Referring image segmentation (RIS) aims to segment an object of interest by a given natural language expression. As fully-supervised methods require expensive pixel-wise labeling, mask-free solutions supervised by low-cost labels are largely desired. However, existing mask-free RIS methods suffer f…
Multi-modality (i.e., multi-sensor) data is widely used in various vision tasks for more accurate or robust perception. However, the increased data modalities bring new challenges for data storage and transmission. The existing data compression approaches usually adopt individual codecs for each mod…