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Found 9 papers, 6 papers with code
HiMix: Reducing Computational Complexity in Large Vision-Language Models
This is inspired by a reassessment of the efficiency of vision and language information transmission in the language decoder of LVLMs.
Manga Generation via Layout-controllable Diffusion
However, there are few studies on generating multi-panel Manga (Japanese comics) solely based on plain text.
LinVT: Empower Your Image-level Large Language Model to Understand Videos
Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an LLM-based assistant for videos.
Ranked #1 on
Video Question Answering
on NExT-QA
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
Our method enhances the transmission of LR information in the early stages of diffusion to guarantee image fidelity and stimulates the generation ability of the SD model itself more in the later stages to enhance the detail of generated images.
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
We posit that introducing reward feedback learning to finetune the existing models can further improve the quality of the generated images.
Ranked #1 on
Blind Super-Resolution
on DRealSR
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
Recently, the open-vocabulary semantic segmentation problem has attracted increasing attention and the best performing methods are based on two-stream networks: one stream for proposal mask generation and the other for segment classification using a pretrained visual-language model.
Ranked #12 on
Zero-Shot Semantic Segmentation
on PASCAL VOC
DiP: Learning Discriminative Implicit Parts for Person Re-Identification
In person re-identification (ReID) tasks, many works explore the learning of part features to improve the performance over global image features.
Ranked #2 on
Person Re-Identification
on CUHK03 detected
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Video Temporal Relationship Mining for Data-Efficient Person Re-identification
This paper is a technical report to our submission to the ICCV 2021 VIPriors Re-identification Challenge.
