105 citations · 585 across the 48 of their papers we have counts for
18 papers · 1 filter
Towards Versatile Embodied Navigation
Hanqing Wang, Wei Liang, Luc Van Gool +1
With the emergence of varied visual navigation tasks (e.g, image-/object-/audio-goal and vision-language navigation) that specify the target in different ways, the community has ma…
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang, Wenguan Wang, Jiaxu Miao +1
Prevalent semantic segmentation solutions are, in essence, a dense discriminative classifier of p(class|pixel feature). Though straightforward, this de facto paradigm neglects the…
Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing
Wenguan Wang, Yi Yang, Fei Wu
Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and statistical paradigms of cognition, has been an active research area of Artificial Intelligence…
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang, James Liang, Dongfang Liu
Prevalent state-of-the-art instance segmentation methods fall into a query-based scheme, in which instance masks are derived by querying the image feature using a set of instance-a…
LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
Xuekun Zhao, Pu Cao, Xiaoya Yang +3
As research on image inversion advances, the process is generally divided into two stages. The first step is Image Embedding, involves using an encoder or optimization procedure to…
Visual Recognition with Deep Nearest Centroids
Wenguan Wang, Cheng Han, Tianfei Zhou +1
We devise deep nearest centroids (DNC), a conceptually elegant yet surprisingly effective network for large-scale visual recognition, by revisiting Nearest Centroids, one of the mo…