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Found 17 papers, 6 papers with code
Improving Detection in Aerial Images by Capturing Inter-Object Relationships
In many image domains, the spatial distribution of objects in a scene exhibits meaningful patterns governed by their semantic relationships.
DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
In this work, we propose a DreamTalk framework to fulfill this gap, which employs meticulous design to unlock the potential of diffusion models in generating expressive talking heads.
Feedback RoI Features Improve Aerial Object Detection
Neuroscience studies have shown that the human visual system utilizes high-level feedback information to guide lower-level perception, enabling adaptation to signals of different characteristics.
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
3D vision-language grounding (3D-VL) is an emerging field that aims to connect the 3D physical world with natural language, which is crucial for achieving embodied intelligence.
Improving Scene Graph Generation with Superpixel-Based Interaction Learning
(ii) We explore intra-entity and cross-entity interactions among the superpixels to enrich fine-grained interactions between entities at an earlier stage.
Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs
As a way of communicating with users and any LLMs like GPT or PaLM2, prompting becomes an increasingly important research topic for better utilization of LLMs.
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
In this paper, we propose a Time-variant Relation-aware TRansformer (TR$^2$), which aims to model the temporal change of relations in dynamic scene graphs.
TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles
In this work, we propose an expression-controllable one-shot talking head method, dubbed TalkCLIP, where the expression in a speech is specified by the natural language.
2D Semantic Segmentation task 3 (25 classes)
Talking Head Generation
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
In a nutshell, we aim to attain a speaking style from an arbitrary reference speaking video and then drive the one-shot portrait to speak with the reference speaking style and another piece of audio.
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction
We strictly prove that any permutation-invariant function implemented by DuMLP-Pin can be decomposed into two or more permutation-equivariant ones in a dot-product way as the cardinality of the given input set is greater than a threshold.
Phase Space Reconstruction Network for Lane Intrusion Action Recognition
In a complex road traffic scene, illegal lane intrusion of pedestrians or cyclists constitutes one of the main safety challenges in autonomous driving application.
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
Graph convolutional neural network provides good solutions for node classification and other tasks with non-Euclidean data.
DETR for Crowd Pedestrian Detection
Furthermore, the bipartite match of ED harms the training efficiency due to the large ground truth number in crowd scenes.
Fast Object Detection in Compressed Video
To our best knowledge, the MMNet is the first work that investigates a deep convolutional detector on compressed videos.
Recent progress in semantic image segmentation
In this paper, we divide semantic image segmentation methods into two categories: traditional and recent DNN method.
Fully Motion-Aware Network for Video Object Detection
Video objection detection is challenging in the presence of appearance deterioration in certain video frames.
SegStereo: Exploiting Semantic Information for Disparity Estimation
Disparity estimation for binocular stereo images finds a wide range of applications.
Ranked #6 on
Semantic Segmentation
on KITTI Semantic Segmentation
