Search Results for author:
Found 12 papers, 3 papers with code
Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts
The objective is to assess the safety capabilities of these models in Chinese contexts both before and after distillation, and to further elucidate the adverse effects of distillation on model safety.
Safety Evaluation of DeepSeek Models in Chinese Contexts
In response to this gap, this study introduces CHiSafetyBench, a Chinese-specific safety evaluation benchmark.
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis
DeepSeek-R1, known for its low training cost and exceptional reasoning capabilities, has achieved state-of-the-art performance on various benchmarks.
The SkatingVerse Workshop & Challenge: Methods and Results
The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding.
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
In order to solve these problems, a hybrid quantum-classical conditional generative adversarial network (QCGAN) algorithm is proposed, which is a knowledge-driven human-computer interaction computing mode that can be implemented in cloud.
The 3rd Anti-UAV Workshop & Challenge: Methods and Results
Second, we set up two tracks for the first time, i. e., Anti-UAV Tracking and Anti-UAV Detection & Tracking.
CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence
The deep-learning model CNN combined with the One-Hot coding showed the best performance, dubbed CNNArginineMe.
TubeR: Tubelet Transformer for Video Action Detection
We propose TubeR: a simple solution for spatio-temporal video action detection.
LiftPool: Bidirectional ConvNet Pooling
Pooling is a critical operation in convolutional neural networks for increasing receptive fields and improving robustness to input variations.
Dance with Flow: Two-in-One Stream Action Detection
With only half the computation and parameters of the state-of-the-art two-stream methods, our two-in-one stream still achieves impressive results on UCF101-24, UCFSports and J-HMDB.
Ranked #1 on
Action Detection
on UCF Sports
(Video-mAP 0.5 metric)
Pixelated Semantic Colorization
We propose two ways to incorporate object semantics into the colorization model: through a pixelated semantic embedding and a pixelated semantic generator.
Pixel-level Semantics Guided Image Colorization
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems of context confusion and edge color bleeding.
