Search Results for author:
Found 8 papers, 5 papers with code
Human-like Cognitive Generalization for Large Models via Brain-in-the-loop Supervision
Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have demonstrated remarkable capabilities in image and natural language understanding.
MureObjectStitch: Multi-reference Image Composition
Generative image composition aims to regenerate the given foreground object in the background image to produce a realistic composite image.
A Single Simple Patch is All You Need for AI-generated Image Detection
The recent development of generative models unleashes the potential of generating hyper-realistic fake images.
Mind Artist: Creating Artistic Snapshots with Human Thought
We introduce Mind Artist (MindArt) a novel and efficient neural decoding architecture to snap artistic photographs from our mind in a controllable manner.
MindGPT: Interpreting What You See with Non-invasive Brain Recordings
By doing so, we found that the neural representations of the MindGPT are explainable, which can be used to evaluate the contributions of visual properties to language semantics.
InterFace:Adjustable Angular Margin Inter-class Loss for Deep Face Recognition
In the field of face recognition, it is always a hot research topic to improve the loss solution to make the face features extracted by the network have greater discriminative power.
Hybrid Multisource Feature Fusion for the Text Clustering
The text clustering technique is an unsupervised text mining method which are used to partition a huge amount of text documents into groups.
Waveform Design for Joint Sensing and Communications in Millimeter-Wave and Low Terahertz Bands
Finally, a data-embedded MS-QP (DE-MS-QP) waveform is constructed through time-domain extension of the MS-QP sequence, generating null frequency points on each subband for data transmission.
