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Found 8 papers, 0 papers with code
COPAL: Continual Pruning in Large Language Generative Models
Adapting pre-trained large language models to different domains in natural language processing requires two key considerations: high computational demands and model's inability to continual adaptation.
DRAMA: Joint Risk Localization and Captioning in Driving
We make this data available to the community for further research.
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
At test time, a single input modality (e. g., LiDAR data) is required to generate predictions from the input perspective (i. e., in the LiDAR space), while taking advantages from the model trained with multiple sensor modalities.
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
At test time, a single input modality (e. g., LiDAR data) is required to generate predictions from the input perspective (i. e., in the LiDAR space), while taking advantages from the model trained with multiple sensor modalities.
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
We propose a Deep RObust Goal-Oriented trajectory prediction Network (DROGON) for accurate vehicle trajectory prediction by considering behavioral intentions of vehicles in traffic scenes.
Optimal Combination of Image Denoisers
Given a set of image denoisers, each having a different denoising capability, is there a provably optimal way of combining these denoisers to produce an overall better result?
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation
Specifically, we recast the hand pose estimation problem as the cold-start problem for a new user with unknown item ratings in a recommender system.
DFacTo: Distributed Factorization of Tensors
We present a technique for significantly speeding up Alternating Least Squares (ALS) and Gradient Descent (GD), two widely used algorithms for tensor factorization.
