3 citations · 3 across the 5 of their papers we have counts for
5 papers
UI-Venus-2 Technical Report
Venus Team, Zhuohan Cai, Haoxing Chen +28
Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable real-world applications remai…
VISTA: View-Consistent Self-Verified Training for GUI Grounding
Xinyu Qiu, Yunzhu Zhang, Heng Jia +3
When applying Group Relative Policy Optimization (GRPO) for GUI Grounding, rollouts are sampled from a single screenshot view; groups often become either all failures on difficult…
UI-Venus-1.5 Technical Report
Venus Team, Changlong Gao, Zhangxuan Gu +24
GUI agents have emerged as a powerful paradigm for automating interactions in digital environments, yet achieving both broad generality and consistently strong task performance rem…
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
Jiacheng Hu, Zhen Qi, Jianjun Wei +3
Deep learning has revolutionized various fields, yet its efficacy is hindered by overfitting and the requirement of extensive annotated data, particularly in few-shot learning scen…
Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments
Keqin Li, Jiajing Chen, Denzhi Yu +9
At present, in most warehouse environments, the accumulation of goods is complex, and the management personnel in the control of goods at the same time with the warehouse mobile ro…