3 citations · 6 across the 8 of their papers we have counts for
8 papers
UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer
Shuai Wang, Liang Li, Yang Chen +3
Unified Multimodal Models (UMMs) have emerged as a critical direction for general-purpose multimodal intelligence, integrating understanding and generation into a single framework.…
CycleHOI: Improving Human-Object Interaction Detection with Cycle Consistency of Detection and Generation
Yisen Wang, Yao Teng, Limin Wang
Recognition and generation are two fundamental tasks in computer vision, which are often investigated separately in the exiting literature. However, these two tasks are highly corr…
SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Haisong Liu, Yao Teng, Tao Lu +2
Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great attention over the past few years. Dense detectors typically follow a two-stage pipeline by first co…
Deep Equilibrium Object Detection
Shuai Wang, Yao Teng, Limin Wang
Query-based object detectors directly decode image features into object instances with a set of learnable queries. These query vectors are progressively refined to stable meaningfu…
StageInteractor: Query-based Object Detector with Cross-stage Interaction
Yao Teng, Haisong Liu, Sheng Guo +1
Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies.…
Logit Normalization for Long-tail Object Detection
Liang Zhao, Yao Teng, Limin Wang
Real-world data exhibiting skewed distributions pose a serious challenge to existing object detectors. Moreover, the samplers in detectors lead to shifted training label distributi…
Target Adaptive Context Aggregation for Video Scene Graph Generation
Yao Teng, Limin Wang, Zhifeng Li +1
This paper deals with a challenging task of video scene graph generation (VidSGG), which could serve as a structured video representation for high-level understanding tasks. We pre…
Structured Sparse R-CNN for Direct Scene Graph Generation
Yao Teng, Limin Wang
Scene graph generation (SGG) is to detect object pairs with their relations in an image. Existing SGG approaches often use multi-stage pipelines to decompose this task into object…