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- Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning115
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself, but some of the current methods tend to cheat from the background, so this work proposes to remove the background impact by adding the background.
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- Live: Learning Video LLM with Streaming Speech Transcription at Scale9
This paper proposes a novel streaming training approach that densely interleaves the ASR words and video frames according to their timestamps according to their timestamps, enabling the model to learn temporally-aligned, fine-grained vision-language modeling.
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- Exploring the Interactive Guidance for Unified and Effective Image Matting6
An Unified Interactive image Matting (UIM) method is proposed, which leverages multiple types of user interactions to avoid the ambiguity of multiple matting targets, and it decouple image matting into two stages, i.e., foreground segmentation and transparency prediction.
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- Learning Spatio-temporal Representation by Channel Aliasing Video Perception2
This paper proposes a novel pretext task namely Channel Aliasing Video Perception (CAVP) for self-supervised video representation learning, to recognize the number of different motion flows within a channel aliasing video for perception of discriminative motion cues.
- Frontiers in the emerging development of blockchain and Bitcoin: visual research based on big data analysis1
A comprehensive data analysis and visualization of keywords such as “blockchain’, “bitcoin”, and “business and economic” is provided, using big data analysis technology and visual presentation.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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