Chaitanya Ahuja

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. Trans. Mach. Learn. Res. Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2026	J	`jnl`	Xray-Visual Models: Scaling Vision models on Industry Scale Data. CoRR Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-You Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh
2025	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. CoRR Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2025	A	`conf`	Multi-Modal Large Language Models are Effective Vision Learners. WACV Li Sun, Chaitanya Ahuja, Peng Chen, Matt D'Zmura, Kayhan Batmanghelich, Philip Bontrager
2025	J	`jnl`	Think Then Embed: Generative Context Improves Multimodal Embedding. CoRR Xuanming Cui, Jianpeng Cheng, Hong-You Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan
2023	J	`jnl`	A Comprehensive Review of Data-Driven Co-Speech Gesture Generation. Comput. Graph. Forum Simbarashe Nyatsanga, Taras Kucherenko, Chaitanya Ahuja, Gustav Eje Henter, Michael Neff
2023	J	`jnl`	A Comprehensive Review of Data-Driven Co-Speech Gesture Generation. CoRR Simbarashe Nyatsanga, Taras Kucherenko, Chaitanya Ahuja, Gustav Eje Henter, Michael Neff
2023	A*	`conf`	Continual Learning for Personalized Co-Speech Gesture Generation. ICCV Chaitanya Ahuja, Pratik Joshi, Ryo Ishii, Louis-Philippe Morency
2023	A*	`conf`	Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos. ICCV Dong Won Lee, Chaitanya Ahuja, Paul Pu Liang, Sanika Natu, Louis-Philippe Morency
2022	—	`conf`	Benchmarking Multi-Modal Entailment for Fact Verification (short paper). DE-FACTIFY@AAAI Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Naresh Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
2022	—	`conf`	Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI Parth Patwa, Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
2022	A*	`conf`	Low-Resource Adaptation for Personalized Co-Speech Gesture Generation. CVPR Chaitanya Ahuja, Dong Won Lee, Louis-Philippe Morency
2022	—	`conf`	Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
2022	J	`jnl`	Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides. CoRR Dong Won Lee, Chaitanya Ahuja, Paul Pu Liang, Sanika Natu, Louis-Philippe Morency
2021	—	`conf`	Crossmodal Clustered Contrastive Learning: Grounding of Spoken Language to Gesture. ICMI Companion Dong Won Lee, Chaitanya Ahuja, Louis-Philippe Morency
2020	B	`conf`	Impact of Personality on Nonverbal Behavior Generation. IVA Ryo Ishii, Chaitanya Ahuja, Yukiko I. Nakano, Louis-Philippe Morency
2020	—	`conf`	No Gestures Left Behind: Learning Relationships between Spoken Language and Freeform Gestures. EMNLP (Findings) Chaitanya Ahuja, Dong Won Lee, Ryo Ishii, Louis-Philippe Morency
2020	J	`jnl`	Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach. CoRR Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency
2020	—	`conf`	Style Transfer for Co-speech Gesture Animation: A Multi-speaker Conditional-Mixture Approach. ECCV (18) Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency
2019	—	`conf`	A Complex Matrix Factorization Approach to Joint Modeling of Magnitude and Phase for Source Separation. ISSPIT Chaitanya Ahuja, Karan Nathwani, Rajesh M. Hegde
2019	B	`conf`	Coalescing Narrative and Dialogue for Grounded Pose Forecasting. ICMI Chaitanya Ahuja
2019	—	`conf`	Language2Pose: Natural Language Grounded Pose Forecasting. 3DV Chaitanya Ahuja, Louis-Philippe Morency
2019	J	`jnl`	Language2Pose: Natural Language Grounded Pose Forecasting. CoRR Chaitanya Ahuja, Louis-Philippe Morency
2019	J	`jnl`	Multimodal Machine Learning: A Survey and Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. Tadas Baltrusaitis, Chaitanya Ahuja, Louis-Philippe Morency
2019	B	`conf`	To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations. ICMI Chaitanya Ahuja, Shugao Ma, Louis-Philippe Morency, Yaser Sheikh
2019	J	`jnl`	To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations. CoRR Chaitanya Ahuja, Shugao Ma, Louis-Philippe Morency, Yaser Sheikh
2018	—	`ch.`	Challenges and applications in multimodal machine learning. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) Tadas Baltrusaitis, Chaitanya Ahuja, Louis-Philippe Morency
2018	A*	`conf`	Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling. AAAI Chaitanya Ahuja, Louis-Philippe Morency
2017	J	`jnl`	Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling. CoRR Chaitanya Ahuja, Louis-Philippe Morency
2017	J	`jnl`	Multimodal Machine Learning: A Survey and Taxonomy. CoRR Tadas Baltrusaitis, Chaitanya Ahuja, Louis-Philippe Morency
2014	J	`jnl`	A Complex Matrix Factorization approach to Joint Modeling of Magnitude and Phase for Source Separation. CoRR Chaitanya Ahuja, Karan Nathwani, Rajesh M. Hegde
2014	—	`conf`	Extraction of pinna spectral notches in the median plane of a virtual spherical microphone array. HSCMA Ankit Sohni, Chaitanya Ahuja, Rajesh M. Hegde
2014	Misc	`conf`	Fast modelling of pinna spectral notches from HRTFs using linear prediction residual cepstrum. ICASSP Chaitanya Ahuja, Rajesh M. Hegde

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0x11\n    \n    if (rsi_3 u<= 8)\n        jump(internal/abi.(*Type).ExportedMethods.jump7[rsi_3])\n    \n    rsi_4 = arg1 + 0x30\n\nif (rsi_4 == 0)\n    return 0\n\nuint64_t rdx = zx.q(*(rsi_4 + 6))\n\nif (rdx.w == 0)\n    return nullptr\n\nif (rdx u<= 0x10000)\n    return rsi_4 + zx.q(*(rsi_4 + 8))\n\nruntime.panicSlice3Alen()\nbreakpoint', 'decompiled_function_name': 'internal/abi.(*Type).ExportedMethods', 'decompiled_function_prototype': 'void* internal/abi.(*Type).ExportedMethods(void* arg1 @ rax)', 'decompiled_function_address': 4198880, 'function_type': 'USER', 'functions_caller': [], 'functions_call': ['jump(internal/abi.(*Type).ExportedMethods.jump7[rsi_3])', 'runtime.panicSlice3Alen()'], 'flattened_score': 0.0, 'mba_score': 0.125, 'disassembled_function_hash': 'e2558c9cf3ebac3a28dff29dcc0b8918965ca5091e4d5e0361af301ebc9d7fba'}, {'decompiled_function_hash': '407d3d24d10ffe65a17c09aa88e6d7283d00fcdd9df10741af968c91841cc9b2', 'decompiled_function': 'while (&__return_addr u<= *(arg3 + 0x10))\n    runtime.morestack_noctxt.abi0()\n\nuint64_t rcx_1 = zx.q(*(arg1 + 0x17)) & 0x1f\n\nif (rcx_1 == 0x14)\n    return *(arg1 + 0x40)\n\ninternal/abi.(*Type).ExportedMethods(arg1, rcx_1)\nreturn arg2', 'decompiled_function_name': 'internal/abi.(*Type).NumMethod', 'decompiled_function_prototype': 'int64_t internal/abi.(*Type).NumMethod(void* arg1 @ rax, int64_t arg2 @ rbx, void* arg3 @ r14)', 'decompiled_function_address': 4199072, 'function_type': 'USER', 'functions_caller': [], 'functions_call': ['internal/abi.(*Type).ExportedMethods(arg1, rcx_1)', 'runtime.morestack_noctxt.abi0()'], 'flattened_score': 1.0, 'mba_score': 0.14285714285714285, 'disassembled_function_hash': '270037f0c8addf478f25bc075eb0dc05fc54dff87fba6dff63ab8d0555e4929a'}, {'decompiled_function_hash': '9f2a44ad4622a0e2d0e1b439b1d46754301fd5f7060b91e3766482b1383494da', 'decompiled_function': 'if (arg1 == 0)\n    return 0\n\nint64_t rcx = 0\nint64_t rdx = 0\n\nwhile (true)\n    int64_t rbx_2 = rcx * 7\n    *(arg1 + rcx + 1)\n    \n    if (rbx_2 s< 0)\n        runtime.panicshift()\n        breakpoint\n    \n    uint32_t rdi_3 = zx.d(*(arg1 + rcx + 1))\n    rdx += (zx.q(rdi_3) & 0x7f) << rbx_2.b & sbb.q(rbx_2, rbx_2, rbx_2 u< 0x40)\n    \n    if ((rdi_3.b & 0x80) == 0)\n        break\n    \n    rcx += 1\n\nint64_t rcx_1\n\nif (rdx != 1)\n    rcx_1 = 0\nelse\n    rcx_1.b = *(arg1 + 2) == 0x5f\n\nreturn zx.q(rcx_1.d)', 'decompiled_function_name': 'internal/abi.Name.IsBlank', 'decompiled_function_prototype': 'uint64_t internal/abi.Name.IsBlank(void* arg1 @ rax)', 'decompiled_function_address': 4199168, 'function_type': 'USER', 'functions_caller': [], 'functions_call': ['runtime.panicshift()'], 'flattened_score': 0.7692307692307693, 'mba_score': 0.05, 'disassembled_function_hash': '7a693574e5a54de381301402832a96b61c8f4d2a2671d8150e93fb29f8692e0f'}, {'decompiled_function_hash': 'aaadbfaff6f26ed203060269065749f25f44d295aadde2386ab73f8c4a5dd767', 'decompiled_function': 'while (true)\n    int64_t* rsp\n    \n    if (rsp u> *(arg3 + 0x10))\n        *(rsp - 8) = arg2\n        rsp -= 8\n        arg2 = rsp\n        \n        if (arg1 == 0)\n            *rsp\n            return 0\n        \n        void* rcx_1 = nullptr\n        int64_t rdx_1 = 0\n        \n        while (true)\n            void* rsi_2 = rcx_1 * 7\n            *(rcx_1 + arg1 + 1)\n            \n            if (rsi_2 s< 0)\n                break\n            \n            uint32_t r8_3 = zx.d(*(rcx_1 + arg1 + 1))\n            rdx_1 += (zx.q(r8_3) & 0x7f) << rsi_2.b & sbb.q(rsi_2, rsi_2, rsi_2 u< 0x40)\n            \n            if ((r8_3.b & 0x80) == 0)\n                if (rdx_1 s>= 0)\n                    int64_t rcx_4 = neg.q(rcx_1 + arg1 + 2)\n                    \n                    if (rcx_4 u>= rdx_1)\n                        *rsp\n                        return rcx_1 + arg1 + 2\n                    \n                    if (rcx_1 + arg1 != -2)\n                        runtime.panicunsafestringlen(rcx_4)\n                    \n                    runtime.panicunsafestringnilptr()\n                \n                runtime.panicunsafestringlen()\n                break\n            \n            rcx_1 += 1\n        \n        arg1 = runtime.panicshift()\n    \n    rsp[1] = arg1\n    runtime.morestack_noctxt.abi0()\n    arg1 = rsp[1]', 'decompiled_function_name': 'internal/abi.Name.Name', 'decompiled_function_prototype': 'void* internal/abi.Name.Name(int64_t arg1 @ rax, int64_t* arg2 @ rbp, void* arg3 @ r14)', 'decompiled_function_address': 4199296, 'function_type': 'USER', 'functions_caller': [], 'functions_call': ['runtime.panicunsafestringlen(rcx_4)', 'runtime.panicunsafestringnilptr()', 'runtime.panicunsafestringlen()', 'arg1 = runtime.panicshift()', 'runtime.morestack_noctxt.abi0()'], 'flattened_score': 1.0, 'mba_score': 0.029411764705882353, 'disassembled_function_hash': '21ad7fe65b5907f2e2bd82711c3d5cda50e2cda11dd6cb13e472a1879a0f5ee0'}, {'decompiled_function_hash': '6bc616921202fbee6edcbe36548ca6c0123ae51ecb86c0eea217f3889c581d25', 'decompiled_function': 'while (true)\n    int64_t* rsp\n    \n    if (rsp u> *(arg3 + 0x10))\n        *(rsp - 8) = arg2\n        rsp -= 8\n        arg2 = rsp\n        \n        if ((*arg1 & 2) == 0)\n            *rsp\n            return 0\n        \n        void* rcx_1 = nullptr\n        void* rdx_2 = nullptr\n        \n        while (true)\n            void* rsi_2 = rcx_1 * 7\n            *(rcx_1 + arg1 + 1)\n            \n            if (rsi_2 s< 0)\n                break\n            \n            uint32_t r8_3 = zx.d(*(rcx_1 + arg1 + 1))\n            rdx_2 += (zx.q(r8_3) & 0x7f) << rsi_2.b & sbb.q(rsi_2, rsi_2, rsi_2 u< 0x40)\n            \n            if ((r8_3.b & 0x80) == 0)\n                int64_t rcx_3 = 0\n                int64_t rbx_3 = 0\n                \n                while (true)\n                    void* rsi_4 = rdx_2 + rcx_1 + rcx_3\n                    int64_t rdi_3 = rcx_3 * 7\n                    *(arg1 + rsi_4 + 2)\n                    \n                    if (rdi_3 s< 0)\n                        break\n                    \n                    uint32_t r8_9 = zx.d(*(arg1 + rsi_4 + 2))\n                    rbx_3 += (zx.q(r8_9) & 0x7f) << rdi_3.b & sbb.q(rdi_3, rdi_3, rdi_3 u< 0x40)\n                    \n                    if ((r8_9.b & 0x80) == 0)\n                        if (rbx_3 s>= 0)\n                            int64_t rcx_6 = neg.q(arg1 + rsi_4 + 3)\n                            \n                            if (rcx_6 u>= rbx_3)\n                                *rsp\n                                return arg1 + rsi_4 + 3\n                            \n                            if (arg1 + rsi_4 != -3)\n                                runtime.panicunsafestringlen(rcx_6)\n                            \n                            runtime.panicunsafestringnilptr()\n                        \n                        runtime.panicunsafestringlen()\n                        break\n                    \n                    rcx_3 += 1\n                \n                runtime.panicshift()\n                break\n            \n            rcx_1 += 1\n        \n        arg1 = runtime.panicshift()\n    \n    rsp[1] = arg1\n    runtime.morestack_noctxt.abi0()\n    arg1 = rsp[1]', 'decompiled_function_name': 'internal/abi.Name.Tag', 'decompiled_function_prototype': 'void* internal/abi.Name.Tag(char* arg1 @ rax, int64_t* arg2 @ rbp, void* arg3 @ r14)', 'decompiled_function_address': 4199488, 'function_type': 'USER', 'functions_caller': [], 'functions_call': ['runtime.panicunsafestringlen(rcx_6)', 'runtime.panicunsafestringnilptr()', 'runtime.panicunsafestringlen()', 'runtime.panicshift()', 'arg1 = runtime.panicshift()', 'runtime.morestack_noctxt.abi0()'], 'flattened_score': 1.0, 'mba_score': 0.041666666666666664, 'disassembled_function_hash': '0621c0c17af04d429b48b7855fd82627f2e835ec864eaa49d0de3183fd3d9fbf'}, {'decompiled_function_hash': '917d57a1b59aad9ee7b1197909e67f4ee8d39a0d26f2390ceacbbc54bde37a43', 'decompiled_function': 'while (true)\n    void* rsp\n    \n    if (rsp - 0x30 u> *(arg9 + 0x10))\n        *(rsp - 8) = arg6\n        arg6 = rsp - 8\n        rsp -= 0xb0\n        *(rsp + 0xb8) = arg4\n        *(rsp + 0xc8) = arg1\n        \n        if (arg5 s< 0x20000000)\n            if (arg8 s< 0x20000000)\n                __builtin_memset(rsp + 0x84, 0, 0x14)\n                int64_t rdx = arg5\n                int64_t r9_1 = 0\n                \n                while (true)\n                    char r10_2 = arg5.b\n                    arg5 s>>= 7\n                    char r10_3 = r10_2 & 0x7f\n                    \n                    if (arg5 == 0)\n                        if (r9_1 u< 0xa)\n                            *(rsp + r9_1 + 0x8e) = r10_3\n                            int64_t rbx = arg8\n                            int64_t r10_4 = 0\n                            \n                            while (true)\n                                char r11_2 = arg8.b\n                                arg8 s>>= 7\n                                char r11_3 = r11_2 & 0x7f\n                                \n                                if (arg8 == 0)\n                                    if (r10_4 u< 0xa)\n                                        *(rsp + r10_4 + 0x84) = r11_3\n                                        int64_t r11_4 = rdx + r9_1\n                                        int64_t r12_3\n                                        \n                                        if (rbx == 0)\n                                            r12_3 = r9_1 + rdx + 2\n                                        else\n                                            r12_3 = rbx + r10_4 + r11_4 + 3\n                                            arg7 |= 2\n                                        \n                                        *(rsp + 0x78) = rdx\n                                        *(rsp + 0x48) = r9_1 + rdx + 2\n                                        *(rsp + 0x70) = rbx\n                                        *(rsp + 0xb8) = arg4\n                                        *(rsp + 0xc8) = arg1\n                                        *(rsp + 0x68) = r11_4\n                                        *(rsp + 0x50) = r10_4\n                                        *(rsp + 0x58) = r9_1\n                                        \n                                        if (arg3 != 0)\n                                            arg7 |= 8\n                                        \n                                        *(rsp + 0x3f) = arg7.b\n                                        *(rsp + 0x60) = r12_3\n                                        char* result = runtime.makeslice(r12_3)\n                                        void* rcx_1 = *(rsp + 0x60)\n                                        \n                                        if (rcx_1 u> 0)\n                                            *(rsp + 0xa0) = result\n                                            *result = *(rsp + 0x3f)\n                                            void* rsi = rcx_1 - 1\n                                            uint64_t rdx_6 = (zx.q((neg.q(rcx_1 - 1) s>> 0x3f).d) & 1) + result\n                                            void* rdi_2 = *(rsp + 0x58)\n                                            \n                                            if (rdi_2 + 1 s< rsi)\n                                                rsi = rdi_2 + 1\n                                            \n                                            if (rsp + 0x8e != rdx_6)\n                                                runtime.memmove(rsi, rdx_6, rsp + 0x8e)\n                                                result = *(rsp + 0xa0)\n                                                rcx_1 = *(rsp + 0x60)\n                                                rdi_2 = *(rsp + 0x58)\n                                            \n                                            if (rcx_1 u>= rdi_2 + 2)\n                                                void* rdi_3 = rcx_1 - rdi_2 - 2\n                                                void* rdx_9 = ((rdi_2 + 2) & neg.q(rcx_1 - rdi_2 - 2) s>> 0x3f) + result\n                                                void* rsi_6 = *(rsp + 0x78)\n                                                \n                                                if (rsi_6 s< rdi_3)\n                                                    rdi_3 = rsi_6\n                                                \n                                                int128_t* rbx_3 = *(rsp + 0xb8)\n                                                void* rdx_10\n                                                bool cond:0_1\n                                                \n                                                if (rbx_3 != rdx_9)\n                                                    runtime.memmove(rdi_3, rdx_9, rbx_3)\n                                                    rdx_10 = *(rsp + 0x70)\n                                                    cond:0_1 = rdx_10 == 0\n                                                    result = *(rsp + 0xa0)\n                                                    rcx_1 = *(rsp + 0x60)\n                                                else\n                                                    rdx_10 = *(rsp + 0x70)\n                                                    cond:0_1 = rdx_10 == 0\n                                                \n                                                if (cond:0_1)\n                                                    *(rsp + 0xa8)\n                                                    return result\n                                                \n                                                uint64_t rsi_7 = *(rsp + 0x48)\n