Search Results for author:
Found 12 papers, 3 papers with code
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction
This work presents a novel First-person View based Trajectory predicting model (FvTraj) to estimate the future trajectories of pedestrians in a scene given their observed trajectories and the corresponding first-person view images.
MedDialog: Large-scale Medical Dialogue Datasets
We also study the transferability of models trained on MedDialog to low-resource medical dialogue generation tasks.
Transformer-Based Local Feature Matching for Multimodal Image Registration
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Large language models generate high-quality responses with potential misinformation, underscoring the need for regulation by distinguishing AI-generated and human-written texts.
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
This paper introduces EmMark, a novel watermarking framework for protecting the intellectual property (IP) of embedded large language models deployed on resource-constrained edge devices.
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs).
XVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
We presented a cross-view trajectory prediction method using shared 3D Queries (XVTP3D).
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
We theoretically prove the robustness of our algorithm against data and model poisoning attacks in a decentralized linear regression setting.
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
Our attacks faithfully reconstruct private texts included in training data with access to the target model.
Improving Differentiable Architecture Search with a Generative Model
We introduce a training strategy called ``Differentiable Architecture Search with a Generative Model(DASGM)."
TreeGAN: Incorporating Class Hierarchy into Image Generation
Based on these two ideas, we propose a TreeGAN model which consists of three modules: (1) a class hierarchy encoder (CHE) which takes the hierarchical structure of classes and their textual names as inputs and learns an embedding for each class; the embedding captures the hierarchical relationship among classes; (2) a conditional image generator (CIG) which takes the CHE-generated embedding of a class as input and generates a set of images belonging to this class; (3) a consistency checker which performs hierarchical classification on the generated images and checks whether the generated images are compatible with the class hierarchy; the consistency score is used to guide the CIG to generate hierarchy-compatible images.
MedDialog: Two Large-scale Medical Dialogue Datasets
Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs.
