Search Results for author:
Found 11 papers, 6 papers with code
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning
Moreover, we employ GPT-2 as the frozen large language model.
Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning
With the development of multimodality and large language models, the deep learning-based technique for medical image captioning holds the potential to offer valuable diagnostic recommendations.
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector
The key frame selector, Frame Selector, is built on CNN architecture.
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks.
Video-based Generative Performance Benchmarking (Consistency)
Video-based Generative Performance Benchmarking (Contextual Understanding)
+10
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision.
Answering Private Linear Queries Adaptively using the Common Mechanism
Since M* will be used no matter what, the analyst can use its output to decide whether to subsequently run M1'(thus recreating the analysis supported by M1) or M2'(recreating the analysis supported by M2), without wasting privacy loss budget.
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality
Multimodal sentiment analysis (MSA) is an important way of observing mental activities with the help of data captured from multiple modalities.
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition
Video-based action recognition is one of the most popular topics in computer vision.
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
Recently, much progress has been made for self-supervised action recognition.
Proving Differential Privacy with Shadow Execution
Sometimes, combining those two requires substantial changes to program logics: one recent paper is able to verify Report Noisy Max automatically, but it involves a complex verification system using customized program logics and verifiers.
Programming Languages D.2.4
Toward Detecting Violations of Differential Privacy
The widespread acceptance of differential privacy has led to the publication of many sophisticated algorithms for protecting privacy.
Cryptography and Security
