About Me
I’m currently a third-year PhD student at the Halıcıoğlu Data Science Institute at UC San Diego, where I have the privilege of being advised by Prof. Zhuowen Tu. My research focuses on developing efficient and controllable methods for visual generation and understanding. Please find my CV here.
Publications
DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation
Divyansh Srivastava, Akshay Mehra, Pranav Maneriker, Debopam Sanyal, Vishnu Raj, Vijay Kamarshi, Fan Du, Joshua Kimball
To appear at IEEE Conference on Computer Vision and Pattern Recognition, 2026 (CVPR 2026) Paper | Code(coming soon) | Website(coming soon)Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
Divyansh Srivastava, Xiang Zhang, Chenru Wen, He Wen, Zhuowen Tu
International Conference on Computer Vision (ICCV), 2025 (ICCV 2025)
Paper | Code | WebsiteOverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu
Neural Information Processing Systems, 2025 (NeurIPS 2025)
Paper | Code | WebsiteSAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness
Anvita Srinivas, Tuomas Oikarinen, Divyansh Srivastava, and Tsui-Wei Weng
Winter Conference on Applications of Computer Vision, 2025 (WACV 2025)
Paper | CodeVLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
Divyansh Srivastava*, Ge Yan*, and Tsui-Wei Weng
Neural Information Processing Systems, 2024 (NeurIPS 2024)
Paper | Code | WebsiteCorrupting Neuron Explanations of Deep Visual Features
Divyansh Srivastava, Tuomas Oikarinen, and Tsui-Wei Weng
International Conference on Computer Vision, 2023 (ICCV 2023)
Paper | CodeStructured Aleatoric Uncertainty in Human Pose Estimation
Nitesh B. Gundavarapu, Divyansh Srivastava, Rahul Mitra, Abhishek Sharma, and Arjun Jain
IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019 (CVPR 2019)
Paper | Code