Search Results for author:
Found 13 papers, 5 papers with code
Neural Interaction Energy for Multi-Agent Trajectory Prediction
In this study, we introduce a framework called Multi-Agent Trajectory prediction via neural interaction Energy (MATE).
AudioScenic: Audio-Driven Video Scene Editing
AudioScenic exploits the inherent properties of audio, namely, audio magnitude and frequency, to guide the editing process, aiming to control the temporal dynamics and enhance the temporal consistency.
Clustering for Protein Representation Learning
We select the highest-scoring clusters and use their medoid nodes for the next iteration of clustering, until we obtain a hierarchical and informative representation of the protein.
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
Reconstructing the viewed images from human brain activity bridges human and computer vision through the Brain-Computer Interface.
Ghost Sentence: A Tool for Everyday Users to Copyright Data from Large Language Models
These concealed passphrases in user documents, referred to as \textit{ghost sentences}, once they are identified in the generated content of LLMs, users can be sure that their data is used for training.
ProtChatGPT: Towards Understanding Proteins with Large Language Models
The protein first undergoes protein encoders and PLP-former to produce protein embeddings, which are then projected by the adapter to conform with the LLM.
Action Sensitivity Learning for the Ego4D Episodic Memory Challenge 2023
This report presents ReLER submission to two tracks in the Ego4D Episodic Memory Benchmark in CVPR 2023, including Natural Language Queries and Moment Queries.
Ranked #1 on
Moment Queries
on Ego4D
Action Sensitivity Learning for Temporal Action Localization
Temporal action localization (TAL), which involves recognizing and locating action instances, is a challenging task in video understanding.
Ranked #9 on
Temporal Action Localization
on THUMOS’14
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
With such merits, we transform CLIP into a scene text reader and introduce CLIP4STR, a simple yet effective STR method built upon image and text encoders of CLIP.
Ranked #1 on
Scene Text Recognition
on WOST
(using extra training data)
Efficient Multimodal Fusion via Interactive Prompting
Large-scale pre-training has brought unimodal fields such as computer vision and natural language processing to a new era.
Context-Aware Pretraining for Efficient Blind Image Decomposition
(2) The conventional paradigm usually focuses on mining the abnormal pattern of a superimposed image to separate the noise, which de facto conflicts with the primary image restoration task.
Removing Raindrops and Rain Streaks in One Go
First, we propose a complementary cascaded network architecture, namely CCN, to remove rain streaks and raindrops in a unified framework.
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
We propose to automatically search for a CNN architecture that is specifically suitable for the reID task.
Ranked #9 on
Person Re-Identification
on CUHK03 detected
