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Found 8 papers, 5 papers with code
Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters
In our solution, a deep learning model was first trained to retarget the facial expression from input face images to virtual human faces by estimating the blendshape coefficients.
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
Recent advancements in large vision-language models (LVLMs) have demonstrated impressive capability in visual information understanding with human language.
ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation
Graphical User Interface (GUI) automation holds significant promise for assisting users with complex tasks, thereby boosting human productivity.
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation learning and pre-trained vision-language models allow for substantial improvements in self-supervised video object localization.
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing the annotation burden of multiple-object tracking (MOT) pipelines.
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Have you ever looked at a painting and wondered what is the story behind it?
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Although achieving great success, most of them only use limited data from a single-source domain for model pre-training, making the rich labeled data insufficiently exploited.
Show, Recall, and Tell: Image Captioning with Recall Mechanism
SG and RWS are de-signed for the best use of recalled words.
